AI Reasoning Archives - gettectonic.com
How Salesforce’s 5-Level Framework for AI Agents Cuts Through the Hype
19Mar

How Salesforce’s 5-Level Framework for AI Agents Cuts Through the Hype

The tech industry is abuzz with talk of AI agents, but what can they actually accomplish? Amid the noise, Salesforce has introduced a practical five-level framework—the Agentic Maturity Model—that clarifies the real capabilities and limitations of today’s AI agents. The Problem with AI Agent Hype AI agents are often overpromised, vaguely defined, and limited by ecosystem barriers. Major players like Microsoft and Google tout AI agents for everything from enterprise workflows to personal computing, yet many of these tools remain constrained by data silos and interoperability issues. Salesforce’s framework provides a structured way to assess AI agent maturity, helping businesses distinguish between basic automation and truly intelligent, cross-platform AI systems. The 5 Levels of AI Agent Maturity Level 0: Fixed Rules & Repetitive Tasks Level 1: Information Retrieval Agents Level 2: Simple Orchestration, Single Domain Level 3: Complex Orchestration, Multiple Domains Level 4: Multi-Agent Orchestration Why This Framework Matters Salesforce’s model demystifies AI agent capabilities, helping businesses:✅ Evaluate vendor claims (Is it Level 2 or Level 4?).✅ Plan AI adoption (Start with Level 0 automation, then scale up).✅ Avoid ecosystem lock-in by understanding data interoperability challenges. Final Verdict: A Much-Needed Reality Check While AI agents hold immense potential, most current implementations are far from autonomous. Salesforce’s framework provides a clear, honest roadmap—helping businesses cut through the hype and adopt AI agents strategically. For now, Levels 0-2 are widely achievable, while Levels 3-4 remain aspirational for most organizations. The key takeaway? AI agents are evolving, but true cross-platform intelligence is still a work in progress. What’s Next?Businesses should: Salesforce’s framework is a wake-up call: AI agents are powerful, but not magic. The future lies in practical, phased adoption—not blind hype. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 19, 2025in Agentforce Platform, Data, Enterprise, Google, Salesforce
ChatGPT 5.0 is Coming
17Feb

ChatGPT Search

OpenAI’s ChatGPT Search: Everything You Need to Know ChatGPT Search is OpenAI’s generative AI-powered search engine, designed to provide real-time information while eliminating the limitations of traditional language models’ knowledge cutoffs. It combines conversational AI with real-time web search, offering up-to-date insights, summaries, and more. Here’s a deep dive into what makes ChatGPT Search unique and how it compares to existing solutions like Google. Overcoming Knowledge Cutoffs Earlier iterations of OpenAI’s models, like GPT-4 (October 2023 cutoff) and GPT-3 (September 2021 cutoff), lacked the ability to access real-time data, a significant drawback for users seeking the latest information. By integrating live search capabilities, ChatGPT Search resolves this issue. Unlike traditional search engines like Google, which continuously crawl and update web indexes, ChatGPT combines the strengths of its GPT-4o model with live web access, bridging the gap between generative AI and real-time search. What Is ChatGPT Search? Launched on October 31, 2024, after being prototyped as “SearchGPT,” ChatGPT Search pairs OpenAI’s advanced language models with live web search. Initially available to ChatGPT Plus and Team users, it will expand to Enterprise, Education, and free-tier users by early 2025. Key Features of ChatGPT Search How Does It Work? ChatGPT Search leverages the following technologies: Accessing ChatGPT Search ChatGPT Search is accessible through multiple platforms: Why ChatGPT Search Challenges Google While Google dominates the search market, OpenAI’s ChatGPT Search introduces key differentiators: AI-Powered Search Engine Comparison Search Engine Platform Integration Publisher Collaboration Ads Cost ChatGPT Search OpenAI infrastructure Strong media partnerships Ad-free Free (Premium tiers planned) Google AI Overviews Google infrastructure SEO-focused partnerships Ads included Free Bing AI Microsoft infrastructure SEO-focused partnerships Ads included Free Perplexity AI Independent, standalone Basic attribution Ad-free Free; $20/month premium You.com Multi-mode AI assistant Basic attribution Ad-free Free; premium available Brave Search Independent index Basic attribution Ad-free Free The Roadmap for ChatGPT Search OpenAI has ambitious plans to refine and expand ChatGPT Search, including: Conclusion ChatGPT Search marks a pivotal shift in how users interact with AI and access information. By combining the generative power of GPT-4o with real-time search, OpenAI has created a tool that rivals traditional search engines with conversational AI, summarized insights, and ad-free functionality. As OpenAI continues to refine the platform, ChatGPT Search is poised to redefine the way we find and interact with information—offering a glimpse into the future of search. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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February 17, 2025in Data, Enterprise, Generative AI, Google
salesforce agentforce ai powered agentic agents
16Dec

Agentforce 2.0 Unveiled

Salesforce Unveils Agentforce 2.0: Transforming Workflows with Enhanced AI Reasoning and Data Integration Salesforce has launched Agentforce 2.0, the next-generation version of its digital labor platform, offering enterprises new pre-built skills, advanced workflow integrations, and enhanced AI reasoning capabilities. Designed to create a “limitless workforce,” Agentforce 2.0 equips businesses with AI agents capable of executing complex tasks across any department, system, or workflow with improved precision and efficiency. Key Enhancements in Agentforce 2.0 1. Expanded Pre-Built Skills and IntegrationsAgentforce 2.0 introduces a robust library of pre-built agent skills compatible with Salesforce CRM, Slack, Tableau, and partner-developed tools on the AppExchange. Additionally, integrations with MuleSoft allow businesses to extend Agentforce capabilities across any system or workflow. 2. Advanced AI Reasoning and RetrievalPowered by Salesforce’s upgraded Atlas Reasoning Engine and retrieval-augmented generation (RAG) technology, the platform now handles deeply nuanced queries and multi-step tasks, leveraging enriched context from Data Cloud. 3. Enhanced Agent BuilderAgentforce’s updated Agent Builder can interpret natural language instructions—such as “onboard new team members”—to auto-generate agents and workflows. It also pulls from the expanded skill library to streamline agent creation, saving time and improving customizability. 4. Slack IntegrationSlack Actions are now embedded into Agentforce, enabling AI agents to interact directly within Slack. For example, agents can send direct messages summarizing project updates or modify Slack Canvas documents in response to customer feedback. Industry Impact and Adoption Marc Benioff, Chair and CEO of Salesforce, highlighted the transformative potential of Agentforce 2.0:“This launch takes our digital labor platform to the next level, blending AI, data, apps, and automation to reshape how businesses operate. Agentforce 2.0 empowers organizations to build a limitless workforce, delivering unprecedented levels of intelligence, customization, and efficiency.” Leading enterprises like Accenture, The Adecco Group, IBM, Finnair, and Indeed are already leveraging Agentforce to augment operations. A Growing Market for Digital Labor The release of Agentforce 2.0 responds to surging demand for agentic AI, with Salesforce closing 200 platform deals within a week and adding thousands more to its pipeline. According to CEO Marc Benioff, Salesforce plans to expand its salesforce by 2,000 workers to support adoption. “Digital labor is the new horizon for businesses,” Benioff remarked. “The way we architect, run, and staff our organizations is undergoing a fundamental transformation.” Challenges and Opportunities While the platform promises significant productivity gains, analysts warn of potential governance and security concerns. By 2028, Gartner predicts AI agent misuse could account for 25% of enterprise breaches. Salesforce emphasizes the importance of robust security measures to support adoption and mitigate risks. With over 80% of executives planning to deploy AI agents within three years (according to Capgemini), Agentforce 2.0 positions Salesforce as a leader in the evolving digital workforce space. Agentforce 2.0 is now available globally, with early adopters reporting improved scalability, efficiency, and customer satisfaction. For more information, visit the Salesforce Agentforce product page. About SalesforceSalesforce is a global leader in customer relationship management (CRM), enabling companies to connect with customers in new and innovative ways. With cutting-edge AI, data, and automation solutions, Salesforce empowers businesses to drive productivity, efficiency, and growth. For more details, visit www.salesforce.com. About TectonicWe are a niche, high quality, service-oriented US based technology services provider.We specialize in helping companies take advantage of the cross section between CRM, marketing, the use of data and analytics to shape behaviors and drive desired financial performance results. We have industry leading delivery capabilities addressing some of the most complex technology services, integrations and Salesforce implementation. Our delivery teams have over 200 certifications across a wide variety of technology services and products, including products, services and solutions serving sales, services, marketing, communities, customers, clients, operations, call centers, loyalty programs, just to name a few. In addition, we have highly skilled, cost effective off-shore delivery capabilities that allow us to provide our services at competitive, value added pricing levels. Please reach out and let us see how we can help you and your company. Tectonic is your Salesforce implementation partner. For more details, visit www.gettectonic.com. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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December 16, 2024in Agentforce Platform, Data, Enterprise, Mulesoft, Salesforce, Technology
Road for AI Regulation
04Nov

Road for AI Regulation

The concept of artificial intelligence, or synthetic minds capable of thinking and reasoning like humans, has been around for centuries. Ancient cultures often expressed ideas and pursued goals similar to AI, and in the early 20th century, science fiction brought these notions to modern audiences. Works like The Wizard of Oz and films such as Metropolis resonated globally, laying the groundwork for contemporary AI discussions.

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November 4, 2024in Generative AI
AI in Programming
23Oct

AI in Programming

Since the launch of ChatGPT in 2022, developers have been split into two camps: those who ban AI in coding and those who embrace it. Many seasoned programmers not only avoid AI-generated code but also prohibit their teams from using it. Their reasoning is simple: “AI-generated code is unreliable.” Even if one doesn’t agree with this anti-AI stance, they’ve likely faced challenges, hurdles, or frustrations when using AI for programming. The key is finding the right strategies to use AI to your advantage. Many are still using outdated AI strategies from two years ago, likened to cutting down a tree with kitchen knives. Two Major Issues with AI for Developers The Wrong Way to Use AI… …can be broken down into two parts: When ChatGPT first launched, the typical way to work with AI was to visit the website and chat with GPT-3.5 in a browser. The process was straightforward: copy code from the IDE, paste it into ChatGPT with a basic prompt like “add comments,” get the revised code, check for errors, and paste it back into the IDE. Many developers, especially beginners and students, are still using this same method. However, the AI landscape has changed significantly over the last two years, and many have not adjusted their approach to fully leverage AI’s potential. Another common pitfall is how developers use AI. They ask the LLM to generate code, test it, and go back and forth to fix any issues. Often, they fall into an endless loop of AI hallucinations when trying to get the LLM to understand what’s wrong. This can be frustrating and unproductive. Four Tools to Boost Programming Productivity with AI 1. Cursor: AI-First IDE Cursor is an AI-first IDE built on VScode but enhanced with AI features. It allows developers to integrate a chatbot API and use AI as an assistant. Some of Cursor’s standout features include: Cursor integrates seamlessly with VScode, making it easy for existing users to transition. It supports various models, including GPT-4, Claude 3.5 Sonnet, and its built-in free cursor-small model. The combination of Cursor and Sonnet 3.5 has been particularly praised for producing reliable coding results. This tool is a significant improvement over copy-pasting code between ChatGPT and an IDE. 2. Micro Agent: Code + Test Case Micro Agent takes a different approach to AI-generated code by focusing on test cases. Instead of generating large chunks of code, it begins by creating test cases based on the prompt, then writes code that passes those tests. This method results in more grounded and reliable output, especially for functions that are tricky but not overly complex. 3. SWE-agent: AI for GitHub Issues Developed by Princeton Language and Intelligence, SWE-agent specializes in resolving real-world GitHub repository issues and submitting pull requests. It’s a powerful tool for managing large repositories, as it reviews codebases, identifies issues, and makes necessary changes. SWE-agent is open-source and has gained considerable popularity on GitHub. 4. AI Commits: git commit -m AI Commits generates meaningful commit messages based on your git diff. This simple tool eliminates the need for vague or repetitive commit messages like “minor changes.” It’s easy to install and uses GPT-3.5 for efficient, AI-generated commit messages. The Path Forward To stay productive and achieve goals in the rapidly evolving AI landscape, developers need the right tools. The limitations of AI, such as hallucinations, can’t be eliminated, but using the appropriate tools can help mitigate them. Simple, manual interactions like generating code or comments through ChatGPT can be frustrating. By adopting the right strategies and tools, developers can avoid these pitfalls and confidently enhance their coding practices. AI is evolving fast, and keeping up with its changes is crucial. The right tools can make all the difference in your programming workflow. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 23, 2024in Generative AI, Salesforce
Google on Google AI
21Oct

Google on Google AI

As a leading cloud provider, Google Cloud is also a major player in the generative AI market. Google on Google AI provides insights into this new tool. In the past two years, Google has been in a competitive battle with AWS, Microsoft, and OpenAI to gain dominance in the generative AI space. Recently, Google introduced several generative Artificial Intelligence products, including its flagship large language model, Gemini, and the Vertex AI Model Garden. Last week, it also unveiled Audio Overview, a tool that transforms documents into audio discussions. Despite these advancements, Google has faced criticism for lagging in some areas, such as issues with its initial image generation tool, like X’s Grok. However, the company remains committed to driving progress in generative AI. Google’s strategy focuses not only on delivering its proprietary models but also offering a broad selection of third-party models through its Model Garden. Google’s Thoughts on Google AI Warren Barkley, head of product for Google Cloud’s Vertex AI, GenAI, and machine learning, emphasized this approach in a recent episode of the Targeting AI podcast. He noted that a key part of Google’s ongoing effort is ensuring users can easily transition to more advanced models. “A lot of what we did in the early days, and we continue to do now, is make it easy for people to move to the next generation,” Barkley said. “The models we built 18 months ago are a shadow of what we have today. So, providing pathways for people to upgrade and stay on the cutting edge is critical.” Google is also focused on helping users select the right AI models for specific applications. With over 100 closed and open models available in the Model Garden, evaluating them can be challenging for customers. To address this, Google introduced evaluation tools that allow users to test prompts and compare model responses. In addition, Google is exploring advancements in Artificial Intelligence reasoning, which it views as crucial to driving the future of generative AI. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 21, 2024in Generative AI, Google
AI Agents and Digital Transformation
18Oct

AI Agents and Digital Transformation

In the rapidly developingng world of technology, Artificial Intelligence (AI) is revolutionizing industries and reshaping how we interact with digital systems. One of the most promising advancements within AI is the development of AI agents. These intelligent entities, often powered by Large Language Models (LLMs), are driving the next wave of digital transformation by enabling automation, personalization, and enhanced decision-making across various sectors. AI Agents and digital transformation are here to stay. What is an AI Agent? An AI agent, or intelligent agent, is a software entity capable of perceiving its environment, reasoning about its actions, and autonomously working toward specific goals. These agents mimic human-like behavior using advanced algorithms, data processing, and machine-learning models to interact with users and complete tasks. LLMs to AI Agents — An Evolution The evolution of AI agents is closely tied to the rise of Large Language Models (LLMs). Models like GPT (Generative Pre-trained Transformer) have showcased remarkable abilities to understand and generate human-like text. This development has enabled AI agents to interpret complex language inputs, facilitating advanced interactions with users. Key Capabilities of LLM-Based Agents LLM-powered agents possess several key advantages: Two Major Types of LLM Agents LLM agents are classified into two main categories: Multi-Agent Systems (MAS) A Multi-Agent System (MAS) is a group of autonomous agents working together to achieve shared goals or solve complex problems. MAS applications span robotics, economics, and distributed computing, where agents interact to optimize processes. AI Agent Architecture and Key Elements AI agents generally follow a modular architecture comprising: Learning Strategies for LLM-Based Agents AI agents utilize various learning techniques, including supervised, reinforcement, and self-supervised learning, to adapt and improve their performance in dynamic environments. How Autonomous AI Agents Operate Autonomous AI agents act independently of human intervention by perceiving their surroundings, reasoning through possible actions, and making decisions autonomously to achieve set goals. AI Agents’ Transformative Power Across Industries AI agents are transforming numerous industries by automating tasks, enhancing efficiency, and providing data-driven insights. Here’s a look at some key use cases: Platforms Powering AI Agents The Benefits of AI Agents and Digital Transformation AI agents offer several advantages, including: The Future of AI Agents The potential of AI agents is immense, and as AI technology advances, we can expect more sophisticated agents capable of complex reasoning, adaptive learning, and deeper integration into everyday tasks. The future promises a world where AI agents collaborate with humans to drive innovation, enhance efficiency, and unlock new opportunities for growth in the digital age. AI Agents and Digital Transformation By partnering with AI development specialists at Tectonic, organizations can access cutting-edge solutions tailored to their needs, positioning themselves to stay ahead in the rapidly evolving AI-driven market. Agentforce 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 18, 2024in Agentforce Platform, Artificial Intelligence, Data, Enterprise, Salesforce Copilots, Technology
AI evolves with tools like Agentforce and Atlas
02Oct

AI Evolves With Agentforce and Atlas

Not long ago, financial services companies were still struggling with the challenge of customer data trapped in silos. Though it feels like a distant issue, this problem remains for many large organizations unable to integrate different divisions that deal separately with the same customers. Salesforce AI evolves with tools like Agentforce and Atlas. The solution is a concept known as a “single source of truth.” This theme took center stage at Dreamforce 2024 in San Francisco, hosted by Salesforce (NYSE). The event showcased Salesforce’s latest AI innovations, including Agentforce, which is set to revolutionize customer engagement through its advanced AI capabilities. Agentforce, which becomes generally available on October 25, enables businesses to deploy autonomous AI agents to manage a wide variety of tasks. These agents differ from earlier Salesforce-based AI tools by leveraging Atlas, a cutting-edge reasoning engine that allows the bots to think like human beings. Unlike generative AI models, which might write an email based on prompts, Agentforce’s AI agents can answer complex, high-order questions such as, “What should I do with all my customers?” The agents break down these queries into actionable steps—whether that’s sending emails, making phone calls, or texting customers—thanks to the deep capabilities of Atlas. Atlas is at the heart of what makes these AI agents so powerful. It combines multiple large language models (LLMs), large action models (LAMs), and retrieval-augmented generation (RAG) modules, along with REST APIs and connectors to various datasets. This robust system processes user queries through multiple layers, checking for validity and then expanding the query into manageable chunks for processing. Once a query passes through the chit-chat detector—which filters out non-relevant inputs—it enters the evaluation phase, where the AI determines if it has enough data to provide a meaningful answer. If not, the system loops back to the user for more information in a process Salesforce calls the agentic loop. The fewer loops required, the more efficient the AI becomes, making the experience seamless for users. Phil Mui, Senior Vice President of Salesforce AI Research, explained that the AI agents created via Agentforce are powered by the Atlas reasoning engine, which makes use of several key tools like a re-ranker, a refiner, and a response synthesizer. These tools ensure that the AI retrieves, ranks, and synthesizes relevant information to generate high-quality, natural language responses for the user. But Salesforce’s AI agents don’t stop at automation—they also emphasize trust. Before responses reach users, they go through additional checks for toxicity detection, bias prevention, and personally identifiable information (PII) masking. This ensures that the output is both accurate and safe. The potential of Agentforce is massive. According to Wedbush, Salesforce’s AI strategy could generate over $4 billion annually by 2025. Wedbush analysts recently increased their price target for Salesforce stock to $325, reflecting the strong customer reception of Agentforce’s AI ecosystem. While some analysts, such as Yiannis Zourmpanos from Seeking Alpha, have expressed caution due to Salesforce’s high valuation and slower revenue growth, the company’s continued focus on AI and multi-cloud solutions places it in a strong position for the future. Robin Fisher, Salesforce’s head of growth markets for Europe, the Middle East, and Africa, highlighted two major takeaways from Dreamforce for African businesses: the Data Cloud and AI. Data Cloud provides a 360-degree view of the customer, consolidating data into a single source of truth without requiring full data migration. Meanwhile, Agentforce’s autonomous AI agents will drive operational efficiency across industries, especially in markets like Africa. Zuko Mdwaba, Salesforce’s managing director for South Africa, added that the company’s decade-long AI journey is culminating in its most advanced AI offerings yet. This new wave of AI, he said, is transforming not just customer engagement but also internal operations, empowering employees to focus on more strategic tasks while AI handles repetitive ones. The future is clear: as AI evolves with tools like Agentforce and Atlas, businesses across sectors, from banking to retail, are poised to harness the transformative power of autonomous technology and data-driven insights, finally breaking free from the silos of the past. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 2, 2024in Agentforce Platform, AI Tools, Data, Generative AI, Salesforce, Salesforce Implementation Services, Technology
What is OpenAI Strawberry?
23Jul

What is OpenAI Strawberry?

OpenAI’s Secret Project: “Strawberry” Background and Goals OpenAI, the company behind ChatGPT, is working on a new AI project codenamed “Strawberry,” according to an insider and internal documents reviewed by Reuters. This project, whose details have not been previously reported, aims to showcase advanced reasoning capabilities in OpenAI’s models. The project seeks to enable AI to not only generate answers to queries but also plan and navigate the internet autonomously to perform “deep research.” What is OpenAI Strawberry? Project Overview The “Strawberry” initiative represents an evolution of the previously known Q* project, which demonstrated potential in solving complex problems like advanced math and science questions. While the precise date of the internal document is unclear, it outlines plans for using Strawberry to enhance AI’s reasoning and problem-solving abilities. The source describes the project as a work in progress, with no confirmed timeline for its public release. Technological Approach Strawberry is described as a method of post-training AI models, refining their performance after initial training on large datasets. This post-training phase involves techniques such as fine-tuning, where models are adjusted based on feedback and examples of correct and incorrect responses. The project is reportedly similar to Stanford’s 2022 “Self-Taught Reasoner” (STaR) method, which uses iterative self-improvement to enhance AI’s intelligence levels. Potential and Challenges If successful, Strawberry could revolutionize AI by improving its reasoning capabilities, allowing it to tackle complex tasks that require multi-step problem-solving and planning. This could lead to significant advancements in scientific research, software development, and various other fields. However, the project also raises concerns about ethical implications, control, accountability, and bias, necessitating careful consideration as AI becomes more autonomous. Industry Context OpenAI is not alone in this pursuit. Other major tech companies like Google, Meta, and Microsoft are also experimenting with improving AI reasoning. The broader goal across the industry is to develop AI that can achieve human or super-human levels of intelligence, capable of making major scientific discoveries and planning complex tasks. Conclusion OpenAI’s project Strawberry represents a significant step forward in AI research, pushing the boundaries of what AI can achieve. While the project is still in its early stages, its potential to enhance AI reasoning capabilities is significant. As OpenAI continues to develop and refine Strawberry, its impact on the future of artificial intelligence will be closely watched by researchers and industry leaders alike. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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July 23, 2024in Salesforce

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