L

Large Language Models

🔧🔗https://github.com/poloclub/mememo

A JavaScript library that brings vector search and RAG to your browser!

Domain Adapted Language Modeling Toolkit - E2E RAG

https://github.com/topoteretes/PromethAI-Backend Open-source framework that gives you AI Agents that help you navigate decision-making, get personalized goals and execute them

www.prometh.ai

https://github.com/mlc-ai/web-llm-chat Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.

https://github.com/InternLM/InternLM-Math State-of-the-art bilingual open-sourced Math reasoning LLMs.

🔧🔗https://github.com/FoundationVision/LlamaGen

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation 🔗arxiv.org/abs/2406.06525

🔧🔗https://github.com/FoundationVision/Groma

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

🕸️🔗groma-mllm.github.io/

🔧🔗https://github.com/AlexCheema/veritas

Veritas is a library for verifying inference of large ML models on Mina.

🔧🔗https://github.com/AbanteAI/spice

Accellerant

🔧🔗https://github.com/forhaoliu/chain-of-hindsight

Chain-of-Hindsight, A Scalable RLHF Method

🔧🔗https://github.com/forhaoliu/language-quantized-autoencoders

Language Quantized AutoEncoders This is a Jax implementation of our work Language Quantized AutoEncoders.

🔧🔗https://github.com/IST-DASLab/marlin FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

🔧🔗https://github.com/exo-explore/mlx-bitnet

1.58 Bit LLM on Apple Silicon using MLX

The Arcee client for executing domain-adpated language model routines

🔧🔗https://github.com/neurosity/EEG-GPT

Foundational model for the Neurosity Crown

🔧🔗https://github.com/Khan/tutoring-accuracy-dataset

This repository hosts the paper “LLM Based Math Tutoring: Challenges and Dataset”, along with the accompanying dataset. It explores the performance and challenges of Large Language Models (LLMs) in math tutoring scenarios, providing a benchmark dataset for evaluating LLM accuracy in educational contexts.

https://github.com/THUDM/APAR APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding

https://github.com/THUDM/OpenWebAgent A convenient framework for developing LLM- and LMM-based web agents.

https://github.com/THUDM/AutoWebGLM An LLM-based Web Navigating Agent (KDD'24)