Q-Star Agent Code: A reinforcement learning-based framework for intelligent agents using Microsoft AutoGen. It leverages Q-Star, a Q-learning variant, for dynamic decision-making. Ideal for developing adaptive AI agents in diverse applications, from service bots to advanced simulations. Includes setup and customization guidelines.

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

This repo is for LinkedIn Learning course: Building AI Agents with AutoGen

This is a repository for the LinkedIn Learning course Fine-tuning LLMs for Cybersecurity: Mistral, LLaMa, AutoTrain, AutoGen

Adaptive mathematics learning using multiple autogen agents

Creates a Microsoft AutoGen agent that you can teach directly from Slack. It leverages the power of OpenAI’s GPT-4 for generating responses and facilitates interactive learning through user feedback.

Collaborative learning on AI Agent including LangGraph, CrewAI, AutoGen, Open AI Swarm, llamaindex Agent

Learning autogen and AI agents

LLM (training, finetuning, reasoning reinforcement learning , RAG, multiagents), image classification&segmentation, text&image answering, text2speech, movie recommendation, dimensionality reduction, LlamaIndex, Autogen, PyTorch, TensorFlow, Transformers, TRL, Keras, fastai, NumPy, Skicit-learn, OpenAI, ElevenLabs, ResNet, LSTM, Autoencoder, SVM

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Complete RAG learning path: Basic to Advanced RAG, Multi-Agent Systems (LangChain, AutoGen, CrewAI, LangGraph, Bedrock), Knowledge Graphs, Production Pipelines, Cloud Deployments

examples and learning for autogen

agent框架，autogen的学习

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This is the AI Agentic Design Patterns with AutoGen DeepLearning AI Repo

Restaurant Review with Autogen. Lab01 work for https://llmagents-learning.org/f24

My learning lab for AI architecture - Python scripts, Azure AI experiments, and AutoGen projects

This is a repository for the LinkedIn Learning course Hands-On AI: Building Agentic SaaS Using Autogen

An AI-driven adaptive teaching chatbot built using the Autogen - Agentic AI Framework to personalize learning paths based on individual user goals.

AutoGen Multi-Agent Technology automates workflows with AI agents, enabling data analysis, real-time visualization, and simulations. It integrates with machine learning, APIs, and predictive analytics for applications in trading, gaming, and decision-making.

AutoGen Learning

Learning Autogen

autogen-learning

AutoGen Learning

用于学习autogen源码

A place where I share code as I complete the autogen tutorial

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学习autogen