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ChatGPT and Einstein GPT

ChatGPT and Einstein GPT

Artificial intelligence (AI) has been rapidly advancing globally, with breakthroughs captivating professionals across various sectors. One milestone that has gained significant attention is the emergence of ChatGPT, a cutting-edge language model revolutionizing the tech landscape. This development has profoundly impacted businesses relying on Salesforce for their customer relationship management (CRM) needs. In March 2023, Salesforce unveiled its latest AI innovation, Einstein GPT, promising to transform how companies engage with their clientele. In this article, we explore what Salesforce Einstein GPT entails and how it can benefit teams across diverse industries. When OpenAI introduced ChatGPT in November 2022, they didn’t expect the overwhelming response it received. Initially positioned as a “research preview,” this AI chatbot aimed to refine existing technology while soliciting feedback from users. However, ChatGPT quickly became a viral sensation, surpassing OpenAI’s expectations and prompting them to adapt to its newfound popularity. Developed on the foundation of the GPT-3.5 language model, ChatGPT was specifically tailored to facilitate engaging and accessible conversations, distinguishing it from its predecessors. Its launch attracted a diverse user base keen to explore its capabilities, prompting OpenAI to prioritize addressing potential misuse and enhancing its safety features. As ChatGPT gained traction, it caught the attention of Salesforce, a leading CRM provider. In March 2023, Salesforce unveiled Einstein GPT, its own AI innovation, poised to transform customer engagement. Built on the GPT-3 architecture and seamlessly integrated into Salesforce Clouds, Einstein GPT promised to revolutionize how businesses interact with their clientele. Einstein GPT boasts a range of features designed to personalize customer experiences and streamline workflows. From generating natural language responses to crafting personalized content and automating tasks, Einstein GPT offers versatility and value across industries. By leveraging both Einstein AI and GPT technology, businesses can unlock unprecedented efficiency and deliver superior customer experiences. Despite its success, OpenAI acknowledges the need for ongoing refinement and vigilance, emphasizing the importance of responsible deployment and transparency in the development of AI technology. Exploring Einstein GPT Salesforce presents Einstein GPT as the premier generative AI tool for CRM worldwide. Utilizing the advanced GPT-3 architecture, Einstein GPT seamlessly integrates into all Salesforce Clouds, including Tableau, MuleSoft, and Slack. This groundbreaking technology empowers users to generate natural language responses to customer inquiries, craft personalized content, and compose entire email messages on behalf of sales personnel. With its high degree of customization, Einstein GPT can be finely tuned to meet the specific needs of various industries, use cases, and customer requirements, delivering significant value to businesses of all sizes and sectors. Objectives of Salesforce AI Einstein GPT Salesforce AI Einstein GPT is designed to achieve several key objectives: Distinguishing Einstein GPT from Einstein AI Einstein GPT represents the latest evolution of Salesforce’s Einstein artificial intelligence technology. Unlike its predecessors, Einstein GPT integrates proprietary Einstein AI models with ChatGPT and other leading large language models. This integration enables users to interact with CRM data using natural language prompts, resulting in highly personalized, AI-generated content and triggering powerful automations that enhance workflows and productivity. By leveraging both Einstein AI and GPT technology, businesses can achieve unparalleled efficiency and deliver exceptional customer experiences. Features of Einstein GPT in Salesforce CRM Key features and capabilities of Salesforce Einstein chatbot GPT include: Utilizing Einstein GPT for Business Improvement Einstein GPT can be leveraged across various domains to enhance business operations: Integration with Salesforce Data Cloud Salesforce Data Cloud, a cloud-based data management system, enables real-time data aggregation from diverse sources. Einstein GPT utilizes unified customer data profiles from the Salesforce Data Cloud to personalize interactions throughout the customer journey. OpenAI on ChatGPT Methods We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format. To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using Proximal Policy Optimization. We performed several iterations of this process. ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT-3.5 were trained on an Azure AI supercomputing infrastructure. Limitations ChatGPT and Einstein GPT Salesforce Einstein GPT signifies a significant advancement in AI technology, empowering businesses to deliver tailored customer experiences and streamline operations. With its integration into Salesforce CRM and other platforms, Einstein GPT offers unprecedented capabilities for personalized engagement and automated insights, ensuring organizations remain competitive in today’s dynamic market landscape. When OpenAI quietly launched ChatGPT in late November 2022, the San Francisco-based AI company didn’t anticipate the viral sensation it would become. Initially viewed as a “research preview,” it was meant to showcase a refined version of existing technology while gathering feedback from the public to address its flaws. However, the overwhelming success of ChatGPT caught OpenAI off guard, leading to a scramble to capitalize on its newfound popularity. ChatGPT, based on the GPT-3.5 language model, was fine-tuned to be more conversational and accessible, setting it apart from previous iterations. Its release marked a significant milestone, attracting millions of users eager to test its capabilities. OpenAI quickly realized the need to address potential misuse and improve the model’s safety features. Since its launch, ChatGPT has undergone several updates, including the implementation of adversarial training to prevent users from exploiting it (known as “jailbreaking”). This technique involves pitting multiple chatbots against each other to identify and neutralize malicious behavior. Additionally,

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Salesforce SOQL Tools and AI

Salesforce SOQL Tools and AI

Salesforce Object Query Language (SOQL) is a robust instrument empowering users to retrieve data from Salesforce efficiently. With SOQL, you can interrogate any Salesforce object, spanning from custom objects to user permissions like profile and permission set perms. Salesforce SOQL Tools and AI. As a seasoned Salesforce Admin, crafting SOQL queries can often prove cumbersome. Not only must you master the syntax, but you must also ensure the queries are both effective and precise. Salesforce SOQL Tools and AI Fortunately, the advent of generative artificial intelligence (AI) tools offers a solution to this challenge. Generative AI tools, capable of producing text, code, and creative content, have emerged as invaluable aids in generating SOQL queries. Among these, Bard and ChatGPT have emerged as particularly helpful tools for crafting SOQL queries. In this discourse, I’ll illustrate how to leverage prompts to generate SOQL queries using these generative AI tools, providing query examples and resources to kickstart your journey with SOQL in your organization. Initiating SOQL Queries with Generative AI Tools To start, it’s essential to furnish the generative AI tool with pertinent information about the intended query. For instance, one might instruct the tool to generate a query retrieving all open opportunities. Subsequently, upon prompting: “Write SOQL that returns all open opportunities in Salesforce.” ChatGPT furnishes the following response: “SELECT Id, Name, StageName, CloseDate, Amount FROM Opportunity WHERE IsClosed = false” This query selects Opportunity records and retrieves their pertinent attributes, filtering the results to include only open opportunities based on the IsClosed field. Bard echoes a similar sentiment with its rendition of the query: “SELECT Id, Name, StageName, Amount, CloseDate FROM Opportunity WHERE IsClosed = false” However, the essence of prompt writing and critical thinking lies in refining the generated response. For instance, by slightly altering the prompt to include additional criteria: “Write SOQL that returns all open opportunities in Salesforce, including all standard fields and filtering results by StageName.” ChatGPT furnishes an adapted query: “SELECT Id, Name, AccountId, Amount, CloseDate, CreatedBy.Name, CreatedDate, LastModifiedBy.Name, LastModifiedDate, StageName FROM Opportunity WHERE StageName != ‘Closed Won’ AND StageName != ‘Closed Lost’” It’s worth noting that ChatGPT lacks insight into the specifics of your organization’s structure, necessitating occasional guidance to accommodate custom fields. However, through conversational cues, you can educate it accordingly: “My Salesforce org includes a custom field with the API name of NonProfit__c for Opportunity. It’s a boolean field. Please include it in all future SOQL queries on Opportunity.” To which ChatGPT responds: “Certainly! To include the custom field NonProfit__c in all future SOQL queries on Opportunity, you can modify the query as follows: SELECT Id, Name, AccountId, Amount, CloseDate, CreatedBy.Name, CreatedDate, LastModifiedBy.Name, LastModifiedDate, StageName, NonProfit__c FROM Opportunity WHERE StageName != ‘Closed Won’ AND StageName != ‘Closed Lost’” By incorporating NonProfit__c into the SELECT statement, the custom field is seamlessly integrated into the query results. Leveraging SOQL for User Permissions Reporting One particularly advantageous application of SOQL for Salesforce Admins is reporting on user permissions. By utilizing the SOQL Query tool in Code Builder or the Developer Console, admins can scrutinize permissions assigned to users via permission sets, profiles, objects, and fields. Here are a few illustrative examples of user permission SOQL queries, collaboratively devised with the assistance of ChatGPT: Check user permissions on an object: SELECT PermissionsRead, PermissionsCreate, PermissionsEdit, PermissionsDelete FROM ObjectPermissions WHERE ParentId IN (SELECT Id FROM PermissionSet WHERE PermissionSet.Name = ‘Your_Permission_Set_Name’) AND SObjectType = ‘Your_Object_Name’ AND PermissionsRead = true Check user permissions on a field: SELECT PermissionsRead, PermissionsEdit FROM FieldPermissions WHERE ParentId IN (SELECT Id FROM PermissionSet WHERE PermissionSet.Name = ‘Your_Permission_Set_Name’) AND SObjectType = ‘Your_Object_Name’ AND Field = ‘Your_Field_Name’ AND PermissionsRead = true Determine which permission sets grant Edit access for a specific field: SELECT ParentId, Parent.Name, Parent.Type, Field, PermissionsEdit, PermissionsRead, SobjectType FROM FieldPermissions WHERE Parent.IsOwnedByProfile = true AND Field = ‘ADM_Work__c.Subject__c’ AND PermissionsEdit = True Identify users assigned managed packages: SELECT Id, UserId, PackageLicense.NamespacePrefix FROM UserPackageLicense WHERE PackageLicense.NamespacePrefix = ‘YOUR_PREFIX_HERE’ Embark on Efficient SOQL Query Generation Today With generative AI tools, initiating sample SOQL queries becomes a n easier process, alleviating the need to grapple with syntax intricacies. For admins who occasionally require SOQL queries and find themselves toggling between documentation and references to commence, leveraging generative AI represents a compelling alternative. Here are some additional pointers for harnessing generative AI tools to craft SOQL queries effectively: Be precise: Furnish the tool with specific instructions to ensure accuracy and efficiency in query generation. Provide examples: Supplying the tool with query examples aids in generating more tailored queries. Test rigorously: Following query generation, ensure thorough testing to verify the returned results align with expectations. Ultimately, by harnessing the power of generative AI, admins can streamline the process of crafting SOQL queries, thereby enhancing productivity and efficiency in Salesforce data management endeavors. Data analysis serves as a cornerstone of business strategy, yet crafting custom SOQL queries to import specific Salesforce data can prove complex and time-consuming, particularly for those without coding expertise. When you add the necessity to amalgamate data from various systems, the process becomes even more cumbersome and inefficient. Coefficient Salesforce SOQL Tools and AI In this insight, we’ll demonstrate how Coefficient’s Formula Builder, powered by GPT, streamlines the creation of custom SOQL functions, and how Coefficient facilitates direct data imports from Salesforce within Google Sheets, all seamlessly integrated into your workflow without ever leaving your spreadsheet. To get started, launch the Coefficient add-on directly within your Google Sheets. If you haven’t already installed Coefficient, simply navigate to the Google Workspace Marketplace to acquire it. Here’s how to install Coefficient: Now that you have Coefficient installed, you can effortlessly import your live Salesforce data. In the Coefficient sidebar within Google Sheets, follow these steps: To do this, follow these steps: The Formula Builder will promptly generate a custom SOQL query based on your specifications. Simply copy this query, and you’re ready to go. With Coefficient, data analysis becomes more efficient and accessible, empowering users of all skill levels to harness the power of Salesforce data seamlessly within Google

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