Arabic Wikipedia Extracts

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

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

Data processing with ML and LLM

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.

A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code

ML Collections is a library of Python Collections designed for ML use cases.

[ICML 2024] TrustLLM: Trustworthiness in Large Language Models

All-in-one text de-duplication

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

Moss summarizer

The repository for the code of the UltraFastBERT paper

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

All Algorithms implemented in Python

A high-throughput and memory-efficient inference and serving engine for LLMs

Fast and memory-efficient exact attention

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

Distributed Reinforcement Learning accelerated by Lightning Fabric

A novel approach for synthesizing tabular data using pretrained large language models

🤗 AutoTrain Advanced

Starting kit for the NeurIPS 2023 unlearning challenge

Remote development on HPC clusters with VSCode

The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy