Latest Advances on Agentic AI & AI Agents for Healthcare

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

Tutorial for Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols

A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (D…

Building a Secure and Interoperable Future for AI-Driven Payments.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…

The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨

A repo lists papers related to LLM based agent

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

MCP Client Implementation using Python, LangGraph and Gemini

A medical ai agent that helps automating the process of hospitals / insurance claiming workflow

Repo for the Complete Agentic AI Engineering Course

Awesome-LLM: a curated list of Large Language Model

AI multi-agent system for comprehensive Bitcoin (BTC) analysis, combining financial news, market performance, and AI-driven price predictions for investment recommendations.

Lean Agentic AI

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.

Meet Ava, the WhatsApp Agent

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

A lightweight library for building Multimodal Agents. Use it to give LLMs superpowers like memory, knowledge, tools and reasoning.

Everything you need to know to build your own RAG application

All the demos in my Youtube Channel: Yeyu Lab

POC project integrating LLM, RAG, and KG to generate context-aware responses from text and database inputs.

A curated list of 120+ LLM libraries category wise.