Chat GPT

05Aug

ChatGPT Word Choices

Why Does ChatGPT Use the Word “Delve” So Much? Mystery Solved. The mystery behind ChatGPT’s frequent use of the word “delve” (one of the 10 most common words it uses) has finally been unraveled, and the answer is quite unexpected. Why ChatGPT Word Choices are repetitive. While “delve” and other words like “tapestry” aren’t common in everyday conversations, ChatGPT seems to favor them. You may have noticed this tendency in its outputs. The sudden rise in the use of “delve” in medical papers from March 2024, coincides with the first full year of ChatGPT’s widespread use. “Delve,” along with phrases like “as an AI language model…,” has become a hallmark of ChatGPT’s language, almost a giveaway that a text is AI-generated. But why does ChatGPT overuse “delve”? If it’s trained on human data, how did it develop this preference? Is it emergent behavior? And why “delve” specifically? A Guardian article, “How Cheap, Outsourced Labour in Africa is Shaping AI English,” provides a clue. The key lies in how ChatGPT was built. Why “Delve” So Much? The overuse of “delve” suggests ChatGPT’s language might have been influenced after its initial training on internet data. After training on a massive corpus of data, an additional supervised learning step is used to align the AI’s behavior. Human annotators evaluate the AI’s outputs, and their feedback fine-tunes the model. Here’s a summary of the process: This iterative process involves human feedback to improve the AI’s responses, ensuring it stays aligned and useful. However, this feedback is often provided by a workforce in the global south, where English-speaking annotators are more affordable. In Nigeria, “delve” is more commonly used in business English than in the US or UK. Annotators from these regions provided examples using their familiar language, influencing the AI to adopt a slightly African English style. This is an example of poor sampling, where the evaluators’ language differs from that of the target users, introducing a bias in the writing style. This bias likely stems from the RLHF step rather than the initial training. ChatGPT’s writing style, with or without “delve,” is already somewhat robotic and easy to detect. Understanding these potential pitfalls helps us avoid similar issues in future AI development. Making ChatGPT More Human-Like To make ChatGPT sound more human and avoid overused words like “delve,” consider these Prompt Engineering approaches: These methods can be time-consuming. Ideally, a quick, reliable tool, like a Chrome extension, would streamline this process. If you’ve found a solution or a reliable tool for this issue, share it below in the comments. This is a widespread challenge that many users face. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

August 5, 2024in Salesforce

22Jul

Best ChatGPT Competitor Tools

ChatGPT Alternatives – Best ChatGPT Competitor Tools Discover the Future of AI Chat: Explore the Top ChatGPT Alternatives for Enhanced Communication and Productivity. In an effort to avoid playing favorites, tools are presented in alphabetical order. Best ChatGPT Competitor Tools. Do you ever found yourself wishing for a ChatGPT alternative that might better suit your specific content or AI assistant needs? Whether you’re a business owner, content creator, or student, the right AI chat tool can significantly influence how you interact with information and manage tasks. In this insight, we’re looking into the top ChatGPT alternatives available in 2024. By the end, you’ll have a clear idea of which options might be best for your particular use case and why. Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing Features What We Like What We Don’t Like Pricing BONUS Quillbot AI Great for paraphrasing small blocks of content. In the rapidly evolving world of AI chat technology, these top ChatGPT alternatives of 2024 offer a diverse range of capabilities to suit various needs and preferences. Whether you’re looking to streamline your workflow, enhance your learning, or simply engage in more dynamic conversations, there’s a tool out there (or 2 or 10) that can help boost your digital interactions. Each platform brings its unique strengths to the table, from specialized functionalities like summarizing texts or coding assistance to more general but highly efficient conversational capabilities. There is no reason to select only one. As you consider integrating these tools into your daily routine, think about how its features align with your goals. Embrace the possibilities and let these advanced technologies open new doors to efficiency, creativity, and connectivity. Create a bookmark folder just for GPT tools. New one’s pop up routinely. Happy chatting! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

July 22, 2024in Salesforce

06Jun

ChatGPT 5.0 is Coming

Sam Altman Teases ChatGPT-5: Here’s What We Know GPT-5: A Major Leap in AI Following the release of GPT-4, anticipation for its successor, GPT-5, has been growing. According to reports from Business Insider, GPT-5 is expected to debut in mid-2024, potentially marking a significant advancement in AI capabilities. Insiders describe GPT-5 as “materially better,” with enhancements that could transform AI-driven communication and composition. ChatGPT 5.0 is Coming. The Journey to GPT-5 After GPT-4’s launch, speculation about GPT-5’s arrival intensified. OpenAI CEO Sam Altman has hinted at the upcoming release, assuring groundbreaking advancements. However, concrete details were scarce until recent reports provided a clearer timeline for GPT-5’s debut. What to Expect from GPT-5 Early demonstrations of GPT-5 have impressed insiders, with one CEO describing it as “really good.” The model promises significant improvements, showcasing its versatility in real-world applications. From unique use cases for individual enterprises to autonomous AI agents, GPT-5 is poised to expand the boundaries of AI capabilities. Evolution of Language Models Understanding GPT-5’s significance involves tracing the evolution of OpenAI’s language models. From the groundbreaking GPT-3 in 2020 to the iterative improvements leading to GPT-4 Turbo, each iteration has advanced the sophistication of AI-driven communication tools. ChatGPT 5.0 is Coming: A Multimodal Approach Building on its predecessors, GPT-5 is expected to offer a multimodal experience, integrating text and encoded visual input. This capability opens up numerous applications, from content generation to image captioning, further embedding AI in various domains. Next-Token Prediction and Conversational AI At its core, GPT-5 remains a next-token prediction model, generating contextually relevant responses based on input prompts. This functionality underpins conversational AI applications like ChatGPT, enabling seamless user-AI interactions. Challenges and Opportunities Ahead As OpenAI prepares for GPT-5’s launch, the focus shifts to the challenges and opportunities it presents. Addressing concerns about model performance and reliability, and exploring novel use cases, the journey towards realizing the full potential of AI-driven language models is filled with possibilities. Ensuring Safety and Reliability Ensuring the success of GPT-5 involves rigorous testing and validation to guarantee its safety and reliability. As AI continues to advance, maintaining transparency and accountability in its development is crucial. Unlocking New Frontiers Beyond immediate applications, GPT-5 represents a significant step towards unlocking new frontiers in AI innovation. From enhancing natural language understanding to facilitating human-machine collaboration, the implications of GPT-5 extend far beyond its initial release. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

June 6, 2024in Salesforce Einstein

06Jun

GPT-4o GPT4 and Gemini 1.5

An Independent Analysis of GPT-4o’s Classification Abilities Article by Lars Wilk OpenAI’s recent unveiling of GPT-4o marks a significant advancement in AI language models, transforming how we interact with them. The most impressive feature is the live interaction capability with ChatGPT, allowing for seamless conversational interruptions. GPT-4o GPT4 and Gemini 1.5 Despite a few hiccups during the live demo, the achievements of the OpenAI team are undeniably impressive. Best of all, immediately after the demo, OpenAI granted access to the GPT-4o API. In this article, I will present my independent analysis, comparing the classification abilities of GPT-4o with GPT-4, Google’s Gemini, and Unicorn models using an English dataset I created. Which of these models is the strongest in understanding English? What’s New with GPT-4o? GPT-4o introduces the concept of an Omni model, designed to seamlessly process text, audio, and video. OpenAI aims to democratize GPT-4 level intelligence, making it accessible even to free users. Enhanced quality and speed across more than 50 languages, combined with a lower price point, promise a more inclusive and globally accessible AI experience. Additionally, paid subscribers will benefit from five times the capacity compared to non-paid users. OpenAI also announced a desktop version of ChatGPT to facilitate real-time reasoning across audio, vision, and text interfaces. How to Use the GPT-4o API The new GPT-4o model follows the existing chat-completion API, ensuring backward compatibility and ease of use: pythonCopy codefrom openai import AsyncOpenAI OPENAI_API_KEY = “<your-api-key>” def openai_chat_resolve(response: dict, strip_tokens=None) -> str: if strip_tokens is None: strip_tokens = [] if response and response.choices and len(response.choices) > 0: content = response.choices[0].message.content.strip() if content: for token in strip_tokens: content = content.replace(token, ”) return content raise Exception(f’Cannot resolve response: {response}’) async def openai_chat_request(prompt: str, model_name: str, temperature=0.0): message = {‘role’: ‘user’, ‘content’: prompt} client = AsyncOpenAI(api_key=OPENAI_API_KEY) return await client.chat.completions.create( model=model_name, messages=[message], temperature=temperature, ) openai_chat_request(prompt=”Hello!”, model_name=”gpt-4o-2024-05-13″) GPT-4o is also accessible via the ChatGPT interface. Official Evaluation GPT-4o GPT4 and Gemini 1.5 OpenAI’s blog post includes evaluation scores on known datasets such as MMLU and HumanEval, showcasing GPT-4o’s state-of-the-art performance. However, many models claim superior performance on open datasets, often due to overfitting. Independent analyses using lesser-known datasets are crucial for a realistic assessment. My Evaluation Dataset I created a dataset of 200 sentences categorized under 50 topics, designed to challenge classification tasks. The dataset is manually labeled in English. For this evaluation, I used only the English version to avoid potential biases from using the same language model for dataset creation and topic prediction. You can check out the dataset here. Performance Results I evaluated the following models: The task was to match each sentence with the correct topic, calculating an accuracy score and error rate for each model. A lower error rate indicates better performance. Conclusion This analysis using a uniquely crafted English dataset reveals insights into the state-of-the-art capabilities of these advanced language models. GPT-4o stands out with the lowest error rate, affirming OpenAI’s performance claims. Independent evaluations with diverse datasets are essential for a clearer picture of a model’s practical effectiveness beyond standardized benchmarks. Note that the dataset is fairly small, and results may vary with different datasets. This evaluation was conducted using the English dataset only; a multilingual comparison will be conducted at a later time. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

June 6, 2024in Salesforce Einstein, Salesforce Tableau

30May

Did Google Dethrone ChatGPT?

Google’s Bard has emerged as a contender in the realm of large language models (LLMs), sparking speculation about its potential to outshine OpenAI’s ChatGPT. This insight explores the validity of this claim and examines the tests and factors that could determine the ultimate victor in this ongoing AI rivalry. Did Google Dethrone ChatGPT? Google’s Gemini 1.5 Pro is a generational leap in terms of Multimodal Large Language Models, or MLLMs, much like GPT-4 was to LLMs back in March 2023. Did Google Dethrone ChatGPT? While initial rumors of Bard’s “dethronement” of ChatGPT surfaced from a single LinkedIn post in February 2024, substantial evidence is required to substantiate such claims. Let’s determine the potential battleground: The Testing Grounds: There’s no singular, universally recognized benchmark for evaluating LLMs. Here are some areas where Google and OpenAI may showcase their AI prowess: Generative Text Quality: Can the LLM generate various creative text formats—such as poems, code, scripts, and emails—while maintaining coherence and factual accuracy? Question Answering: How effectively can the LLM respond to open-ended, challenging, or unconventional questions, drawing on its knowledge base? Following Instructions: Can the LLM adhere to complex instructions and perform tasks requiring multi-step reasoning? Bias Mitigation: Does the LLM demonstrate impartiality in its responses, or does it exhibit traces of prejudice or social stereotypes? Beyond the Tests: While test results offer insights into LLM capabilities, other factors influence their overall impact: Accessibility: How easily can the LLM be accessed by the public? Is there a user-friendly interface or developer API? Real-World Applications: How seamlessly can the LLM be integrated into practical applications like chatbots, virtual assistants, or educational tools? Continuous Learning: How adeptly does the LLM adapt and enhance its performance over time, incorporating new data and user feedback? The Current Landscape: Declaring a definitive winner is challenging. Bard and ChatGPT excel in different domains. Here’s a speculative analysis: Generative Text Quality: Bard may have a slight advantage, leveraging Google’s extensive dataset. Question Answering: ChatGPT might excel in responding to open-ended queries with creativity, while Bard may prioritize factual accuracy. Following Instructions & Bias Mitigation: Both LLMs are continually refining their capabilities in these areas. The Future of LLMs: The landscape of LLMs is dynamic, with Google and OpenAI poised to make significant advancements. Anticipated developments include: Focus on Explainability: Efforts to understand the reasoning behind LLM responses to foster transparency and trust. Bias Mitigation: Strategies to address bias in LLMs for fairer and more inclusive interactions. Specialized LLMs: Development of domain-specific LLMs tailored to fields like medicine or law. Is Google AI better than ChatGPT? Gemini offers a better user experience, with more imagery and website links. Gemini Advanced generates better AI images than ChatGPT Plus. Gemini responses were often set out in a more readable format than ChatGPT’s responses. Gemini was better at generating spreadsheet formulas than ChatGPT. How is Bard better than ChatGPT? Bard has real-time access to the internet through Google Search, allowing it to incorporate the latest information and news into its responses. Trained on a static dataset not updated since 2021, however, ChatGPT can only access external information through plugins, and this functionality is limited. Is Google nervous about ChatGPT? It’s that the technology represents everything Google was afraid artificial intelligence would become. If ChatGPT runs rampant, the search giant fears it could ruin AI adoption for everyone. Since going viral, ChatGPT has demonstrated how generative AI can be user-friendly, practical, and productive. The narrative of ChatGPT’s dethronement may be premature. Bard and ChatGPT are evolving entities, and the ultimate victor will be determined by their ability to navigate future challenges and opportunities. As these LLMs progress, users stand to benefit from access to increasingly sophisticated and beneficial AI tools. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

May 30, 2024in Generative AI, Salesforce Einstein

16May

New ChatGPT-4o

OpenAI’s ChatGPT Upgraded with GPT-4o: Here’s What’s New OpenAI has just launched a significant upgrade to ChatGPT with the new ChatGPT-4o model, also known as Omni. This true multimodal AI effortlessly understands text, images, video, and audio, offering faster responses and eventually the ability to engage in spoken conversations. If before you read about the New ChatGPT-4o and inadvertently used it, ChatGPT may have surprised you with its responses. I’ve been told to “enjoy my coffee”, “sit back and relax” and more! Key Benefits of GPT-4o The main advantage of GPT-4o is its enhanced reasoning, processing, and natural language capabilities, now available to free ChatGPT users for the first time. In their Spring Update announcement, OpenAI emphasized their goal of making top-tier AI accessible to a broader audience. Gradual Rollout The rollout of GPT-4o is happening in phases. Features are being released in batches, so users should check which features are currently available and which are coming soon. Accessing GPT-4o is straightforward once it’s been activated for your account. Notably, the address for ChatGPT has changed to chatgpt.com, indicating OpenAI’s commitment to AI as a fully-fledged product. Availability Across Platforms If you have access to GPT-4o, it will be available through the mobile app and online. A Mac app is also rolling out to some users, but be cautious of fraudulent links aiming to spread malware. It’s best to wait for an official email or notification from OpenAI before downloading the app. Even with a valid app link, access won’t be granted until it’s enabled on your OpenAI account. Current Features of GPT-4o Currently, users can access the chat version of GPT-4o, with advanced voice and video functionality being rolled out gradually, starting with Plus and Team accounts. Free account users will notice significant improvements as GPT-4o surpasses both the previous 3.5 model and GPT-4. Users can now run code snippets, analyze images and text files, and use custom GPT chatbots. On mobile, you still have access to ChatGPT Voice, but it’s the older version that transcribes conversations into text. The new model understands speech, emotion, and interaction natively without needing this step. How to Use GPT-4o Emotional and Conversational Upgrades OpenAI has demonstrated that the upgraded ChatGPT can now handle more natural and emotionally aware conversations. The new model, available to both free and paid users, responds more quickly to voice, image, and video inputs. It can detect and express emotions, making interactions feel more human-like. During a recent demo, ChatGPT engaged in lively, expressive conversations, picking up on emotional cues and responding with simulated emotional reactions. This new interface aims to enhance user engagement and provide a more personalized experience. And it does. But it can be deceptively human-like. Ethical Considerations Despite the engaging new features, the lifelike interactions of advanced chatbots raise ethical concerns. Researchers warn that highly persuasive and emotionally responsive AI could have unintended consequences, such as fostering addictive behaviors or influencing user actions negatively. Future Developments OpenAI promises further advancements and additional announcements soon. The competition in the AI field remains intense, with companies like Google expected to unveil new technologies at their upcoming I/O developer conference. OpenAI’s latest update signifies a major leap in AI capabilities, aiming to blend advanced technology with everyday usability while navigating the complex ethical landscape of human-AI interactions. Like Related Posts Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more

May 16, 2024in Salesforce Einstein

17Nov

Chat GPT and Salesforce

It’s more likely that you vacationed on Gilligan’s island than remain unfamiliar with ChatGPT. Since its introduction, this tool has emerged as an essential extension to Salesforce solutions, owing to its remarkable generative AI capabilities. From automating content creation to validating rules ChatGPT excels in some areas. By crafting Apex code, developing Lightning Web Components (LWC), summarizing conversations, and composing knowledge articles, ChatGPT has demonstrated its value. The integration of Chat GPT and Salesforce holds the potential to streamline substantial segments of organizational processes, leading to significant time savings. This not only enhances CRM data management, now fortified by generative AI, but also elevates the customer experience to unprecedented heights. While Salesforce has its own Einstein AI tools, Chat GPT and Salesforce remain a viable tool combination. This article will explore in detail how ChatGPT can seamlessly integrate with Salesforce. Understanding ChatGPT: When I questioned ChatGPT about its nature, and its response is as follows: ChatGPT is a language model created by OpenAI. It operates as a deep generative language neural network, having been trained on an extensive volumes of text to generate coherent and meaningful responses to user queries and commands. In essence, ChatGPT is essentially a chatbot, akin to Einstein bots. However, it distinguishes itself with its robust capabilities. Developed on the OpenAI GPT-3.5 family of large language models, incorporating both supervised and reinforcement learning techniques, ChatGPT has been trained on an extensive dataset of internet text up until January 2022. It excels in natural language processing tasks such as text generation, question answering, translation, and text classification. The underlying technology of ChatGPT is sophisticated, evolving continually through the application of machine learning and deep learning techniques. In 2023, OpenAI introduced two new models: ChatGPT-3.5 Turbo and ChatGPT-4, with the latter being notably superior. For instance, GPT-4 is multimodal, adept at processing both textual and visual inputs, comprehending and describing images effectively. It has also reduced the likelihood of generating nonsensical or “AI hallucinations” by 19-29%. In terms of security, GPT-4 incorporates robust measures from the outset, generating only 0.73% “toxic” responses compared to GPT-3.5’s 6.48%. It excels in maintaining context, with enhanced memory of the conversation, and improved context length to handle more extensive inputs. In summary, the mentioned improvements position GPT-4 as a more advanced and versatile option. ChatGPT Models: Every AI tool relies on models to discern patterns and make decisions from data. The OpenAI API is powered by a family of models with distinct capabilities and pricing scales. Users can also tailor their base models for specific use cases. The primary models include: This serves as a brief overview, and further exploration is possible here. OpenAI retires old models to introduce safer and more advanced versions. When a model becomes obsolete, it is promptly deactivated, with a specified shutdown date. Legacy models, those not receiving updates, are clearly labeled, signaling developers to transition to newer alternatives. Salesforce Consulting Services: Tectonic provides Salesforce consulting services geared toward catalyzing your company’s growth with Chat GPT and Salesforce, or by implementing a customized business solution or enhancing an existing implementation. Use Cases for ChatGPT in the Salesforce Ecosystem: The million-dollar question arises: how can ChatGPT be effectively utilized in Salesforce? Here are several Chat GPT and Salesforce use cases: Precautions with ChatGPT: While ChatGPT proves beneficial in areas like marketing, sales, and service, its application across the organization should be approached with caution. It’s a powerful tool, offering coherent and logical responses, but it cannot replace every role in every area. As of now, it functions as a valuable virtual assistant for specific tasks, but it shouldn’t be the sole source of information. Proper utilization of this tool can positively impact your Salesforce solution, but precautions must be taken. According to the “Generative AI Trends for Sales” report, 73% of sales professionals express concerns about the security risks associated with this technology, with 49% admitting to not knowing how to use it safely at work. Additionally, ChatGPT often lacks context, leading to potential inaccuracies in responses. Therefore, Salesforce recommends taking the following precautions before adopting any integration of Chat GPT and Salesforce: It’s essential not to overestimate ChatGPT while still leveraging its advantages. Currently, it can serve as a virtual assistant to assist with specific tasks, but it should not be the sole source of information. Prudent use of this tool can positively impact your Salesforce solution, but precautions should be taken. It’s advisable to make the most of generative AI capabilities within Salesforce, especially considering the developments in 2023. Salesforce has introduced multiple solutions incorporating this technology, not only with a comprehensive suite of GPT products but also a significant leap in Einstein. Since the past Dreamforce, Einstein Platform 1 has evolved into the CRM’s trusted AI, offering a high-performance real-time conversational assistant, Einstein Copilot, and an Infinite Capability Studio. Being part of Salesforce’s ecosystem eliminates potential data security and privacy gaps, facilitating integration with other platform solutions. ChatGPT marked the inception of the generative AI revolution and stands as a powerful tool. It’s crucial to remember that OpenAI releases versions frequently, addressing major issues promptly. There’s undoubtedly much more to explore and experience with ChatGPT. If you’re considering implementing it in your organization, Tectonic is prepared to assist you in achieving this goal. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

November 17, 2023in Salesforce, Salesforce Einstein

31Oct

Learn AI

Achieving Excellence in Artificial Intelligence: The Path to Success-Learn AI In the rapidly evolving world of Artificial Intelligence (AI), quality and core skills are paramount for building a rewarding career. Merely possessing credentials won’t suffice in the highly competitive AI landscape. Employers are seeking knowledgeable employees. This is an industry so new, anyone can get involved. To embark on a trajectory of lifelong growth, investing in the right AI certification course is imperative. According to the Access Partnership Survey, 42% of employers seek individuals with AI development qualifications, a figure expected to rise to 51% in the next five years. This underscores the trust placed by global recruiters in renowned AI certification programs. Various specializations such as computer vision, machine learning, large language models, natural language processing, robotics, and AI software are witnessing significant profitability in the global market. For those seeking premier training in AI, a myriad of options awaits exploration, ranging from Generative AI to nuanced AI courses, paving the way for a flourishing career. Businesses across industries are actively seeking specialized AI professionals to drive amplified growth, while the workforce is keen on upskilling to seize lucrative AI job opportunities. As we gaze into 2024 and beyond, certain AI skills and roles will undoubtedly be in high demand, with AI emerging as one of the hottest job sectors. With Chat GPT’s rapid rise, mastering these leading AI skills has become essential. Let’s delve into the top free online AI certification programs for 2024, offering the best avenues for an illustrious AI career: While free courses are appealing, it’s essential to recognize that paid credentials often hold more weight. Enrolling in a rewarding paid AI certification program can provide a significant career boost. The United States Artificial Intelligence Institute (USAII®) stands out as a trusted choice among global recruiters. About the United States Artificial Intelligence Institute (USAII®): Renowned for its top-tier AI certification programs, USAII® is highly regarded among industry recruiters. Offering tailored certifications catering to diverse skill sets, it serves as a launchpad for AI aspirants worldwide. Explore the following AI certifications from USAII® to elevate your career: Embrace the best AI skills with globally recognized credentials, whether free or paid. Invest in an online AI certification to chart a course towards long-term career success. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

October 31, 2023in Generative AI, Salesforce Einstein

09Aug

Useful ChatGPT Techniques

Let’s embark on a journey through the intricate world of prompt engineering, guided by the tales of seasoned explorers who have braved the highs and lows of AI interactions. Picture these individuals as a daring voyager, charting unexplored territories to uncover the secrets of prompt mastery, all so that others may navigate these waters with ease. Useful ChatGPT Techniques. In this epic insight, our intrepid explorers shars a treasure trove of insights gleaned from their odyssey—a veritable “best of” plethora chronicling their conquests and not-so-conquests. From the peaks of success to the valleys of failure, every twist and turn in their adventure has led to the refinement of their craft. Prepare to be enthralled as they unravel the enigma of prompt design, revealing its pivotal role in shaping AI interactions. With each revelation, they unveil the power of perfect prompt design to elevate solutions, enchant customers, and conquer the myriad challenges that lie in wait. But this is no ordinary tale of technical prowess—no, dear reader, it is a grand odyssey teeming with intrigue and excitement. From the bustling streets of AI-powered applications to the untamed wilderness of off-topic queries, hallucinations, flat-out lies, and toxic language, our heroes navigate it all with cunning and finesse. Along the way, they impart their hard-earned wisdom, offering practical advice and cunning strategies to fellow travelers eager to tread the same path. With each chapter, they peel back the layers of mystery surrounding prompt engineering, illuminating the way forward for those brave enough to follow. So, dear reader, strap in and prepare for an adventure like no other. With our intrepid explorers as your guide, you’ll embark on a thrilling quest to unlock the secrets of prompt mastery and harness the full potential of AI-powered interactions. Why Prompt Design Matters Prompt design plays a crucial role in optimizing various aspects of your solution. A well-crafted prompt can: Let’s dive into the essential prompting approaches with the following table of contents: Prompts can be quite long and complex. Often, long, and carefully crafted prompts with the right ingredients can lead to a huge reduction in incorrectly processed user utterances. But always keep in mind that most prompt tokens have a price, i.e. the longer the prompt, the more expensive it is to call the API. Recently, however, there have been attempts to make prompt input tokens cheaper than output tokens. By mastering these prompting techniques, you can create prompts that not only enhance performance but also deliver exceptional customer experiences. Like Related Posts Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Sales Cloud Einstein Forecasting Salesforce, the global leader in CRM, recently unveiled the next generation of Sales Cloud Einstein, Sales Cloud Einstein Forecasting, incorporating Read more

August 9, 2023in Salesforce Einstein

21Jul

ChatGPT Announces Custom Instructions

We’re rolling out custom instructions to empower you to tailor ChatGPT to better suit your needs. This feature will be accessible in beta starting today with the Plus plan, with availability expanding to all users over the next few weeks. Custom instructions enable you to incorporate preferences or requirements that you want ChatGPT to consider when generating responses. Based on feedback about the inconvenience of starting each ChatGPT conversation from scratch, we’ve engaged with users across 22 countries to grasp the crucial role of steerability in enabling our models to effectively adapt to diverse contexts and individual needs. Moving forward, ChatGPT will take your custom instructions into account in every conversation. The model will integrate these instructions into its responses, eliminating the need for you to repeat preferences or information in each interaction. For instance, a teacher designing a lesson plan no longer needs to reiterate that they’re teaching 3rd-grade science. Similarly, a developer preferring efficient code in a language other than Python can express it once, and ChatGPT will understand. Even tasks like grocery shopping for a large family become more seamless, with the model considering specifics like needing 6 servings in the grocery list. Plugins Incorporating instructions can also enhance your experience with plugins by providing relevant information to the plugins you utilize. For example, if you specify your city in your instructions and use a restaurant reservation plugin, ChatGPT might include your city when calling the plugin. Beta During the beta phase, ChatGPT may not always interpret custom instructions flawlessly—it might occasionally overlook instructions or apply them incorrectly. Safety We’ve adjusted our safety measures to accommodate the new ways users can instruct the model. For instance, our Moderation API is designed to prevent instructions from being saved if they violate our Usage Policies. Additionally, the model can decline or disregard instructions that lead to responses violating our policies. Privacy While we may leverage your custom instructions to enhance model performance, you can opt out of this via your data controls. Similar to ChatGPT conversations, we take steps to remove personal identifiers from custom instructions before using them to enhance model performance. Learn more about how we utilize conversations to improve model performance and your options in our Help Center. Like Related Posts Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Sales Cloud Einstein Forecasting Salesforce, the global leader in CRM, recently unveiled the next generation of Sales Cloud Einstein, Sales Cloud Einstein Forecasting, incorporating Read more

July 21, 2023in Generative AI, Salesforce Einstein

07Jun

Salesforce Sales Cloud GPT

What is Salesforce Sales Cloud GPT? Salesforce’s Einstein GPT is a robust AI tool that seamlessly integrates both public and private AI models with CRM data. This unique synergy allows users to articulate natural-language queries directly within the Salesforce CRM environment, resulting in continuously adapted AI-generated content tailored to evolving customer information and requirements. Salesforce Sales Cloud GPT The suite encompasses a suite of powerful Artificial Intelligence (AI) products, including the Einstein service, the workplace-messaging app Slack, and the data analysis software Tableau. Notably, it unveils a compelling array of natural language tools slated for release in 2023, such as Sales GPT for personalized emails, Service GPT for service messages and chatbots, and Marketing GPT for refined audience targeting. Furthermore, the AI Cloud is meticulously crafted to host extensive language models from various providers such as AWS, Anthropic, and Cohere. Salesforce’s commitment to AI startups is further underscored by a substantial $500 million injection into its venture capital fund. Impact on Sales Cloud with AI and EinsteinGPT: Sales Cloud undergoes a transformative impact through AI, notably EinsteinGPT. Anchored in principles of Trust, Security, and Privacy, Salesforce introduces the Einstein Trust Layer within its AI Cloud offering to assuage privacy concerns. This layer ensures adaptability and transparency while upholding stringent standards for data privacy, security, and compliance. EinsteinGPT for Sales Cloud emerges as a game-changing innovation, serving as a personalized assistant within Salesforce CRM to streamline sales processes. Leveraging Generative AI, it transcends mere data analysis by generating novel content, ideas, and approaches. Key features encompass Einstein GPT, Einstein Conversation Insights, and Einstein Relationship Insights. Industries Experience Tangible Impact: Salesforce’s substantial investments in AI are reshaping the landscape of sales and customer engagement. As EinsteinGPT becomes an integral part of the platform, the anticipation of new and innovative use cases signals a significant leap forward in AI accessibility. Tectonic is please to announce our Sales Cloud Implementation Solutions. Like Related Posts 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more

June 7, 2023in Salesforce Einstein, Salesforce Financial Services Solutions, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions, Salesforce Sales Cloud

12Mar

Salesforce ChatGPT

ChatGPT, an AI chatbot and Large Language Model developed by OpenAI with support from Microsoft, employs Natural Language Processing (NLP) to engage with users and provide responses by mining a vast database compiled from millions of websites. Its interactions are designed to be natural and conversational, but the accuracy may vary depending on the specificity of the user’s inquiry. In the context of the Salesforce ecosystem, the impact of ChatGPT can lead to both positive and negative outcomes. For example, it excels in generating code such as validation rules, formulas, and Apex classes. However, caution is advised when relying on it for declarative results or comprehensive answers. Junior developers may face challenges, as ChatGPT, drawing insights from extensive code samples, has the potential to outperform them in code writing. It is worth acknowledging that Salesforce has been integrating artificial intelligence since 2017. When it comes to output, ChatGPT is a little bit like canned cheese and string cheese. They are both “cheese” but neither one is cheese. For business analysts and consultants, ChatGPT can be a valuable resource for crafting generic proposals or suggesting process steps. Nevertheless, a measured reliance on its outputs is recommended. Architects, in contrast, may find limited value in ChatGPT, lacking the necessary experience and context for their role. Additionally, ChatGPT can be utilized to generate initial drafts of documents like training materials or business cases, but users must specify the rationale behind suggested changes, as ChatGPT lacks intrinsic understanding. It is crucial to clarify that ChatGPT functions as a content development tool and should not be confused with Salesforce Service Cloud Voice and conventional chatbots. Awareness of Salesforce’s My Domain changes is essential for those currently using chatbots, as these changes can impact their functionality. For marketers and content writers, it is essential to recognize that Large Language Models like ChatGPT may accentuate social biases and produce potentially inaccurate results. This stems from the questionable data found in some of the millions of websites that contribute to its training. In summary, while ChatGPT can be a beneficial tool, it is imperative to validate and verify its results before relying on them. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

March 12, 2023in Salesforce, Salesforce Einstein

05Mar

Slack and ChatGPT

Salesforce Inc announced its collaboration with OpenAI, the creator of ChatGPT, to integrate the chatbot technology into its Slack collaboration software and broaden the use of generative artificial intelligence across its business software. The San Francisco-based company unveiled EinsteinGPT, a technology merging its own AI capabilities with those of external partners like OpenAI. This collaboration aims to assist businesses in tasks such as drafting emails, managing customer accounts, and even generating computer code. Additionally, ChatGPT will integrate with Slack to help users summarize conversations and handle various queries. This strategic move reflects the competitive landscape among tech giants racing to enhance their platforms with generative AI, which can generate text, images, and other content based on historical data inputs. Microsoft Corp, for example, leveraging its investment in OpenAI, has integrated generative AI into its Teams product, enabling functionalities like generating meeting notes and suggesting email responses through its Viva Sales subscription. This places Teams in direct competition with Slack. Clara Shih, a general manager at Salesforce, highlighted during a press briefing that this announcement addresses the growing demand from businesses for advanced AI capabilities. She emphasized that Salesforce’s proprietary data and AI models would differentiate their offerings in the market. Salesforce’s initiative in generative AI is poised to transform customer engagement strategies for businesses, according to Shih, enabling them to innovate profoundly in their interactions with customers. In addition to this integration, Salesforce also unveiled a new fund aimed at investing in startups specializing in generative AI technologies. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

March 5, 2023in Generative AI, Salesforce Slack

14Nov

AI Large Language Models

What Exactly Constitutes a Large Language Model? Picture having an exceptionally intelligent digital assistant that extensively combs through text, encompassing books, articles, websites, and various written content up to the year 2021. Yet, unlike a library that houses entire books, this digital assistant processes patterns from the textual data it undergoes. This digital assistant, akin to a large language model (LLM), represents an advanced computer model tailored to comprehend and generate text with humanlike qualities. Its training involves exposure to vast amounts of text data, allowing it to discern patterns, language structures, and relationships between words and sentences. How Do These Large Language Models Operate? Fundamentally, large language models, exemplified by GPT-3, undertake predictions on a token-by-token basis, sequentially building a coherent sequence. Given a request, they strive to predict the subsequent token, utilizing their acquired knowledge of patterns during training. These models showcase remarkable pattern recognition, generating contextually relevant content across diverse topics. The “large” aspect of these models refers to their extensive size and complexity, necessitating substantial computational resources like powerful servers equipped with multiple processors and ample memory. This capability enables the model to manage and process vast datasets, enhancing its proficiency in comprehending and generating high-quality text. While the sizes of LLMs may vary, they typically house billions of parameters—variables learned during the training process, embodying the knowledge extracted from the data. The greater the number of parameters, the more adept the model becomes at capturing intricate patterns. For instance, GPT-3 boasts around 175 billion parameters, marking a significant advancement in language processing capabilities, while GPT-4 is purported to exceed 1 trillion parameters. While these numerical feats are impressive, the challenges associated with these mammoth models include resource-intensive training, environmental implications, potential biases, and more. Large language models serve as virtual assistants with profound knowledge, aiding in a spectrum of language-related tasks. They contribute to writing, offer information, provide creative suggestions, and engage in conversations, aiming to make human-technology interactions more natural. However, users should be cognizant of their limitations and regard them as tools rather than infallible sources of truth. What Constitutes the Training of Large Language Models? Training a large language model is analogous to instructing a robot in comprehending and utilizing human language. The process involves: Fine-Tuning: A Closer Look Fine-tuning involves further training a pre-trained model on a more specific and compact dataset than the original. It is akin to training a robot proficient in various cuisines to specialize in Italian dishes using a dedicated cookbook. The significance of fine-tuning lies in: Versioning and Progression Large language models evolve through versions, with changes in size, training data, or parameters. Each iteration aims to address weaknesses, handle a broader task spectrum, or minimize biases and errors. The progression is simplified as follows: In essence, large language model versions emulate successive editions of a book series, each release striving for refinement, expansiveness, and captivating capabilities. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

November 14, 2022in Data, Salesforce, Salesforce Einstein, Technology

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