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reacted to Kseniase's post with 🤗 8 days ago
10 Open-source Deep Research assistants Deep Research agents are quickly becoming our daily co-workers — built for complex investigations, not just chat. With modular architecture, advanced tool use and real web access, they go far beyond typical AI. While big-name agents get the spotlight, we want to highlight some powerful recent open-source alternatives: 1. DeerFlow -> https://github.com/bytedance/deer-flow A modular multi-agent system combining LMs and tools for automated research and code analysis. It links a coordinator, planner, team of specialized agent, and reporter, and converts reports to speech via Text-to-Speech (TTS) 2. Alita -> https://github.com/CharlesQ9/Alita Uses a single problem-solving module for scalable reasoning through simplicity. It self-evolves by generating and reusing Model Context Protocols (MCPs) from open-source tools to build external capabilities for diverse tasks 3. WebThinker -> https://github.com/RUC-NLPIR/WebThinker Lets reasoning models autonomously search the web and navigate pages. Deep Web Explorer allows interaction with links and follow-up searches. Through a Think-Search-and-Draft process models generate and refine reports in real time. RL training with preference pairs improves the workflow 4. SimpleDeepSearcher -> https://github.com/RUCAIBox/SimpleDeepSearcher A lightweight framework showing that supervised fine-tuning is a real alternative to complex RL, using simulated web interactions and multi-criteria curation to generate high-quality training data 5. AgenticSeek -> https://github.com/Fosowl/agenticSeek A private, on-device assistant that picks the best agent expert for browsing, coding, or planning—no cloud needed. Includes voice input via speech-to-text 6. Suna -> https://github.com/kortix-ai/suna Offers web browsing, file and doc handling, CLI execution, site deployment, and API/service integration—all in one assistant Subscribe to the Turing Post:https://www.turingpost.com/subscribe Read further ⬇️
upvoted a paper about 1 year ago
Best Practices and Lessons Learned on Synthetic Data for Language Models
updated a collection over 1 year ago
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