Artificial Intelligence
Author: Jagdeep Singh Soni
Jagdeep Singh Soni Based in the Netherlands, Jagdeep is a senior partner solutions architect at AWS. He uses his passion for DevOps and builder tools to help both system integrators and technology partners. Jagdeep applies his application development and architecture background to drive innovation within his team and promote new technologies.
Evaluating Deep Agents using LangSmith on AWS
This post combines learnings from LangChain’s work on evaluating deep agents and Anthropic’s guide to demystifying evals for AI agents into a practical guide. In this post, you will learn how to: 1) apply five evaluation patterns for deep agents, 2) build offline evaluations using pytest and LangSmith, and 3) configure online monitoring for production. The walkthrough uses a text-to-SQL deep agent with Amazon Bedrock for the full development to production lifecycle.
Build multi-agent systems with LangGraph and Amazon Bedrock
This post demonstrates how to integrate open-source multi-agent framework, LangGraph, with Amazon Bedrock. It explains how to use LangGraph and Amazon Bedrock to build powerful, interactive multi-agent applications that use graph-based orchestration.
Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)
Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Session Management APIs provide an out-of-the-box solution that enables developers to securely manage state and conversation context across […]
LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow
Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task. You can customize the model […]