In this session, learn how to use the new Agentforce model provider experience where you can now select from OpenAI, Google Gemini, or Anthropic Sonnet for your agent use cases.
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Navigating Agentforce LLM Provider Options
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, Senior Director, Product Management, Salesforce
Role: Developer
Product: Agentforce
Session Level: Intermediate
Session Type: Theater
Session Summary: This session provided a comprehensive overview of AgentForce and Prompt Builder, emphasizing the flexibility and customization options available for integrating large language models (LLMs) into Salesforce generative AI applications. Attendees learned about the trust layer, LLM gateway, and model provider management, which allow for seamless integration of Salesforce-managed models like GPT-4, Anthropic and Google Gemini. The session highlighted the ability to enable specific model providers at the organizational level, offering businesses the option to use default models, AWS-hosted solutions, or even bring their own LLMs. Additionally, features like the generative AI Audit and Feedback log and Einstein Studio were showcased, enabling users to monitor model performance, manage data, and create custom prompts and agent actions tailored to their unique needs.
Key Takeaways:
• Agent Force and Prompt Builder support a variety of LLMs, including Salesforce-managed models, AWS-hosted options, and customer-provided models, offering flexibility to meet diverse business requirements.
• Einstein Studio and the generative AI Audit and Feedback log provide powerful tools for managing, monitoring, and optimizing AI performance across different use cases and models in Salesforce applications.
• Upcoming integrations, such as Google Gemini, will further expand model options, giving organizations even more choices to customize and enhance their AI-powered workflows.
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