Projects with this topic
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https://github.com/jbexta/AgentPilot Universal GUI for seamless interaction and management of AI workflows
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https://github.com/princeton-nlp/SWE-agent SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
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🔧 🔗 https://github.com/All-Hands-AI/OpenHands🙌 OpenHands: Code Less, Make MoreUpdated -
🔧 🔗 https://github.com/HKUDS/AI-Creator"AI-Creator: Multi-Modal Agents for Video Production"
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🔧 🔗 https://github.com/assafelovic/gpt-researcher LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.Updated -
🔧 🔗 https://github.com/HumanSignal/AdalaAdala: Autonomous DAta (Labeling) Agent framework
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🔧 🔗 https://github.com/modelscope/ms-swiftSWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs.
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https://github.com/fishaudio/Bert-VITS2 vits2 backbone with multilingual-bert
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🔧 🔗 https://github.com/QwenLM/Qwen-Agent Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.Updated -
🔧 🔗 https://github.com/HKUDS/AutoAgent"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
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🔧 🔗 https://github.com/modelscope/agentscopeStart building LLM-empowered multi-agent applications in an easier way.
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🔧 🔗 https://github.com/HKUDS/AI-Researcher "PhD-Level AI Agents: Fully-Automated Scientific Discovery with Our AI-Researcher Powered by LLMs"Updated -
🔧 🔗 https://github.com/HKUDS/Auto-Deep-Research "Your Fully-Automated Personal AI Assistant, and Open-Source & Cost-Efficient Alternative to OpenAI's Deep Research"Updated -
🔧 🔗 https://github.com/HKUDS/GraphAgent"GraphAgent: Agentic Graph Language Assistant"
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https://github.com/InternLM/xtuner An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
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This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.
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🔧 🔗 https://github.com/geekan/MetaGPT🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language ProgrammingUpdated -
🔧 🔗 https://github.com/om-ai-lab/OmAgent Build multimodal language agents for fast prototype and productionUpdated -
https://github.com/InternLM/lagent A lightweight framework for building LLM-based agents
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🔧 🔗 https://github.com/om-ai-lab/open-agent-leaderboard Reproducible Language Agent ResearchUpdated