Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Awesome multi-modal large language paper/project, collections of popular training strategies, e.g., PEFT, LoRA.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

The official GitHub page for the survey paper "A Survey of Large Language Models".

Multimodal entity linking for Tweets

Official code repository for the paper: Gullal Singh Cheema, Sherzod Hakimov, Abdul Sittar, Eric Müller-Budack, Christian Otto, and Ralph Ewerth. 2022. “MM-Claims: A Dataset for Multimodal Claim De…

Implementation of PALI3 from the paper PALI-3 VISION LANGUAGE MODELS: SMALLER, FASTER, STRONGER"

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

Tiny proof-of-concept PowerShell script to do threat hunting using ChatGPT (text-davinci-003)

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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.

Using an object detection and facial recognition system built on MobileNetSSDV2 and Dlib and running on an NVIDIA Jetson Nano, a GPT-3 model, Google Speech Recognition, Amazon Polly and servo motor…

Easy to use neural networks for NVIDIA Jetson (and desktop too!)

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

The data processing pipeline for the Koala chatbot language model

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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.

Code and documentation to train Stanford's Alpaca models, and generate the data.

A reading list of up-to-date papers on NLP for Social Good.