Could integrating generative AI revolutionize your business processes? Join us as we sit down with Charles Watkins, the newest Salesforce Developer Advocate, to unveil the transformative capabilities of Salesforce's Prompt Builder. Charles shares a compelling example from his own support background, illustrating how this innovative tool can streamline the summarization and categorization of support cases. Learn how Prompt Builder simplifies switching between large language models like OpenAI and Microsoft Azure, making advanced AI accessible without complex integrations.

We also decode Salesforce's cutting-edge Models API, currently in beta, offering a granular, controlled approach to generative AI. Charles discusses how the API can be harnessed to build chat-based conversational AI apps, embeddings, and more using REST API and Apex interfaces. Discover the security advantages of the Einstein Trust Layer, which ensures data privacy, and hear about the impressive response times of models like GPT-4. This episode is a treasure trove for developers eager to experiment with Salesforce's open-gen AI ecosystem. Don't miss this opportunity to get inspired and elevate your AI game.

Show Highlights:

• The Prompt Builder tool for automating business processes like summarizing and categorizing support cases.

• Simplified integration with multiple large language models such as OpenAI and Microsoft Azure.

• The new Models API for creating chat-based AI apps, embeddings, and text generation solutions.

• Benefits of the Einstein Trust Layer for enhanced security and data privacy.

• The rapid response times of models like GPT-4 and the lack of a streaming API.

Links:

• Applying Fundamentals of Prompt Engineering with Prompt Builder - https://developer.salesforce.com/blogs/2024/07/applying-fundamentals-of-prompt-engineering-with-prompt-builder

• Using Prompt Builder, Flows, and Apex to Summarize and Classify Cases Faster - https://developer.salesforce.com/blogs/2024/06/using-prompt-builder-flows-and-apex-to-summarize-and-classify-cases-faster

• Prompt Builder for Developers Playlist - https://www.youtube.com/playlist?list=PLgIMQe2PKPSIarRb6ud6odVxB1gv-hbO8

• Einstein 1 Studio Developer Center - https://developer.salesforce.com/developer-centers/einstein-1-studio

Join us as we welcome Alex Martinez to discuss the latest updates on Anypoint Code Builder (ACB), a new IDE based on Visual Studio Code, which is set to replace the old Eclipse-based Anypoint Studio. Alex sheds light on the significant release that occurred on June 4th, 2024, bringing notable improvements to DataWeave and MUnit. You'll hear about the benefits of transitioning to a modern IDE, the enhanced capabilities for running MUnit tests, and the introduction of the DataWeave Expression Builder.

Listen in as we explore the recent enhancements in the MuleSoft ecosystem, including the ability to select different Java versions within Anypoint Studio and Anypoint Code Builder (ACB). We'll discuss the dual flavors of ACB — local and web-based IDEs — and their respective advantages, such as ease of configuration and flexibility for specific projects. This episode promises an exciting look ahead at future updates and the ongoing evolution of MuleSoft tools, sure to spark your interest in revisiting and exploring these new capabilities further.

Show Highlights:

• Overview of ACB as a Visual Studio Code-based IDE

• Enhancements in DataWeave and MUnit within ACB

• User-friendly features of the DataWeave Expression Builder

• Dual options of local and web-based IDEs in ACB

• Support for different Java versions in both Anypoint Studio and ACB

• New features, including async API support and improved API kit configurations

Links:

• MuleSoft Anypoint Code Builder (ACB) Release Notes - https://docs.mulesoft.com/release-notes/code-builder/acb-release-notes

• Anypoint Code Builder June '24 Release Playlist - https://www.youtube.com/playlist?list=PLiONnRuKRuJCtQBGW9Qcrp_tCMgBmg0-F

What if you could use the power of artificial intelligence (AI) to transform your business operations? In this episode, we welcome Dave Norris to discuss the profound impact of Salesforce's strategic acquisitions — such as ExactTarget, Pardot, Heroku, and Slack — on the developer ecosystem. We cover the intricacies of integrating diversified data systems and emphasize the importance of centralized data management through MuleSoft.

We'll explore how Data Cloud handles structured and unstructured data, enhancing AI functionalities with tools like Prompt Builder and the newly released Data Cloud Vector Search. This episode sheds light on how grounding AI with enterprise-specific information can significantly boost productivity and deliver accurate, context-rich responses. Listen in for a detailed description of data and AI within the Salesforce ecosystem!

Show Highlights:

• Centralizing data with MuleSoft and the role of Data Cloud in data ingestion, mapping, and security

• Using AI capabilities like Einstein AI within the Salesforce ecosystem

• Integrating structured and unstructured data using Data Cloud for enhanced AI functionality

• Practical insights and use cases, including predictive AI in animal adoption data

• General availability of Data Cloud Vector Search and its impact on semantic searching

• Enhancing enterprise productivity by grounding AI with specific enterprise data for more accurate responses

Links:

• Data Cloud + Einstein AI: The Developer’s Pocket Guide - https://developer.salesforce.com/blogs/2024/05/data-cloud-einstein-ai-the-developers-pocket-guide

• Bring Your Own Large Language Model in Einstein 1 Studio - https://developer.salesforce.com/blogs/2024/03/bring-your-own-large-language-model-in-einstein-1-studio