Open-Sora: Democratizing Efficient Video Production for All

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Automate browser-based workflows with LLMs and Computer Vision

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Large Action Model framework to develop AI Web Agents

Blazingly fast LLM inference.

Containerized, state of the art Retrieval-Augmented Generation (RAG) system with a RESTful API

Reverse Engineering: Decompiling Binary Code with Large Language Models

ChatOllama is an open source chatbot based on LLMs. It supports a wide range of language models, and knowledge base management.

No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents

Open weights LLM from Google DeepMind.

The open source Tines / Splunk SOAR alternative for security engineers.

SoraWebui is an open-source Sora web client, enabling users to easily create videos from text with OpenAI's Sora model.

FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework.

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

MiniSora: A community aims to explore the implementation path and future development direction of Sora.

基于.Net8+AntBlazor+SemanticKernel 和KernelMemory 打造的AI知识库/智能体，支持本地离线AI大模型。可以不联网离线运行。支持aspire观测应用数据

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Sora AI Video Generator by Sora.FM

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

Fully-featured, beautiful web interface for Ollama LLMs - built with NextJS. Deploy with a single click.

Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"

使用vercel的functions，将ai功能加入微信公众号

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

Accelerate your Hugging Face Transformers 7.6-9x. Native to Hugging Face and PyTorch.

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

A PyTorch Native LLM Training Framework

A Framework of Small-scale Large Multimodal Models

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

MobiLlama : Small Language Model tailored for edge devices

Use Ollama to talk to local LLMs in Apple Notes

A unified interface for working with LLMs in Laravel

Generative Representational Instruction Tuning

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

A demo application using fal.realtime and the lightning fast SDXL API provided by fal

The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".

LLM-And-More is a professional, plug-and-play, llm trainer and application builder that guides you through the complete LLM workflow from data to evaluation, from training to deployment, from idea to sevice. / LLM-And-More 是一个专业、开箱即用的大模型训练及应用构建一站式解决方案，包含从数据到评估、从训练到部署、从想法到服务的全流程最佳实践。

LDB: A Large Language Model Debugger via Verifying Runtime Execution Step by Step

Famous Vision Language Models and Their Architectures

BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.