Examples and guides for using the OpenAI API

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A game theoretic approach to explain the output of any machine learning model.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

The fastai book, published as Jupyter Notebooks

A guidance language for controlling large language models.

💿 Free software that works great, and also happens to be open-source Python.

StableLM: Stability AI Language Models

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Jupyter Interactive Notebook

Official inference library for Mistral models

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

AI Observability & Evaluation

Overview and tutorial of the LangChain Library

The fastest way to create an HTML app

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A Bulletproof Way to Generate Structured JSON from Language Models

SoTA LLM for converting natural language questions to SQL queries

Efficient few-shot learning with Sentence Transformers

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

🪼 a python library for doing approximate and phonetic matching of strings.

Code, Notebooks and Examples from Practical Business Python

Hackers' Guide to Language Models

A comprehensive guide to building RAG-based LLM applications for production.

Optimize prompts, code, and more with AI-powered Reflective Text Evolution

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…