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An open-source framework for collaborative AI agents, enabling diverse, distributed agents to team up and tackle complex tasks through internet-like connectivity.
A generative speech model for daily dialogue.
MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Official implementations for paper: DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
A collection of resources on digital human including clothed people digitalization, virtual try-on, and other related directions.
An Autonomous LLM Agent for Complex Task Solving
AIdea 是一款支持 GPT 以及国产大语言模型通义千问、文心一言等,支持 Stable Diffusion 文生图、图生图、 SDXL1.0、超分辨率、图片上色的全能型 APP。
Multi agent system for AI-driven software development. Combine LLM with DevOps tools to convert natural language requirements into working software. Supports any development language and extends th…
Generative Agents: Interactive Simulacra of Human Behavior
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
A fast and minimal framework for building agent-integrated systems
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
Integrate cutting-edge LLM technology quickly and easily into your apps
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Official codes for ACL 2023 paper "WebCPM: Interactive Web Search for Chinese Long-form Question Answering"
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation