GenAI function calling with Serverless | Serverless Office Hours
Find out how Large Language Models (LLMs) can enhance business logic with their reasoning capabilities and working with agents.
Solutions Architect, Dhiraj Mahapatro, joins Julian Wood to show how LLM agents can invoke tools autonomously. Discover how you might prefer orchestrating around LLMs yourself for visibility, control, error handling, and token management. This approach, known as tool use or function calling, allows you to specify which tool the LLM should use and how to control the responses. See how to recursively interact with the LLM with additional context provided by each tool’s response.
We are also available to answer any of your serverless questions.
Host: Julian Wood - Principal Developer Advocate, AWS Serverless: https://x.com/julian_wood / julianrwood
Guest: Dhiraj Mahapatro - Principal Serverless Solutions Architect - AWS: https://x.com/dhirajmahapatro / dmahapatro
🆕📢 What’s new in AWS Serverless? https://s12d.com/whats-new
✍️ Serverless AWS Compute blog posts: https://s12d.com/serverless-blogs
Stream Links:
Using function calling in private aviation: https://community.aws/content/2iC2EhY...
Code repo: https://github.com/aws-samples/server...
Serverless & Event-driven Patterns for GenAI: • Serverless & Event-driven Patterns fo...
Call a tool with Amazon Bedrock Tool use (Function calling): https://docs.aws.amazon.com/bedrock/l...
Anthropic’s tool use
https://docs.anthropic.com/en/docs/bu...
Intro to Tool Use with the Amazon Bedrock Converse API: https://community.aws/content/2hW5367...
Generating JSON with the Amazon Bedrock Converse API: https://community.aws/content/2hWA16F...
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Chapters:
00:00 Intro
03:10 Last Week in AWS Serverless
6:42 Understanding function calling
20:10 Understanding agents
27:15 Tool use using Step Functions
31:00 Demo
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