🤖 Bring the magic of ChatGPT to Google Search (powered by Google Gemma + GPT-4o!)

Documents snapshots for most popular generative AI services. Maintained by the Sciences Po Law School Clinic.

Documents versions for most popular generative AI services. Maintained by the Sciences Po Law School Clinic.

An Open Source Agent Service Framework

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

nuwa (女媧／女娲, Nǚwā) is a Python package for preparing images and videos for 3D reconstruction and generation pipelines.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure.

Official Repo for python-vcon and py-vcon-server Python packages

This implementation is based on the paper titled "Conditional Text Image Generation with Diffusion Models," which can be found at arXiv:2306.10804v1.

Build LangChain Applications on AWS

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)

🔒 Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports OpenAI, Azure OpenAI, Anthropic, vLLM, and open-source LLMs.

⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

🛋 The AI and Generative Art platform for everyone

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

a self-hosted webui for 30+ generative ai

Synthetic data generation for tabular data

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models