🦜🔗 Build context-aware reasoning applications

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Automatic Generation of Visualizations and Infographics using Large Language Models

Developer APIs to Accelerate LLM Projects

🤖🌊 aiFlows: The building blocks of your collaborative AI

Official codes and models of the paper "Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation"

Free Doctor Consultation with Artificial Intelligence by using Generative AI

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

Table extraction library

https://microsoft.github.io/lida/ documentation

receipt parsing using donut model, next we will add using LLM + OCR or VLM

Dive into advanced quantization techniques. Learn to implement and customize linear quantization functions, measure quantization error, and compress model weights using PyTorch for efficient and ac…