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Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
[SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
Protocol Buffers - Google's data interchange format
Plan 9 History, from 2002-12-12 to 2015-01-10. A more complete version of this repository is available on https://github.com/plan9foundation/plan9
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)
This SDK is now deprecated, use the new unified Google GenAI SDK.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
⚡ Instantly turn your python function into web app.
Original Implementation of Prompt Tuning from Lester, et al, 2021
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Implementation of Block Recurrent Transformer - Pytorch
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Harness the power of ChatGPT inside the GDB or LLDB debugger!
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.
Source code for Twitter's Recommendation Algorithm
ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Source code for the X Recommendation Algorithm
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.