This episode dives into the Amazon Bedrock Converse API, a new release that simplifies integrating large language models (LLMs) into your applications. We'll talk with Dennis from the AWS Developer Experience team about how Converse tackles common integration challenges, and explores the concept of tools for unlocking new orchestration capabilities for LLMs. By the end, you'll be equipped to get the most out of foundation models on Amazon Bedrock.

With Dennis Traub, Developer Advocate, AWS

Links
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Here are the links to the tools, technologies, or articles we mentioned in this episode.

Amazon Bedrock Converse API - https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html

A developer’s guide to Bedrock’s new Converse API (Dennis’ blog post series) - https://community.aws/content/2dtauBCeDa703x7fDS9Q30MJoBA/amazon-bedrock-converse-api-developer-guide

Getting started with the Amazon Bedrock Converse API (James blog posts series, showing tools in action) - https://community.aws/content/2hHgVE7Lz6Jj1vFv39zSzzlCilG/getting-started-with-the-amazon-bedrock-converse-api?lang=en

Another blog post about using tools with converse API, Davide Gallitelli - https://dgallitelli95.medium.com/amazon-bedrock-explained-with-memes-converse-api-and-tool-usage-w-anthropic-claude-3-001c341347ca

Dennis’ example to use tools (in python) : the page from the Amazon Bedrock documentation and the full source code on GitHub -
https://docs.aws.amazon.com/bedrock/latest/userguide/bedrock-runtime_example_bedrock-runtime_Scenario_ToolUseDemo_AnthropicClaude_section.html

https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-runtime/cross-model-scenarios/tool_use_demo