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This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

DSPy: The framework for programming—not prompting—foundation models

The only reliable agent framework built on top of the latest OpenAI Assistants API.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

The memory layer for Personalized AI

从零实现一个 llama3 中文版

دوره‌ی مقدمه‌ای بر یادگیری ماشین، برای دانشجویان

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Flower: A Friendly Federated Learning Framework

Fast data visualization and GUI tools for scientific / engineering applications

My Python Examples

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Instant offline SQL-powered data visualisation in your browser

Instant voice cloning by MyShell.

Solve puzzles. Learn CUDA.

🌟 Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

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