CAMEL-AI.org

?? CAMEL-AI is trending on Github!!! ??

?? ?????? ???? CAMEL-AI.org ???????? ???????? ????????????！ ? Less than 24 hours — ??.???? ?????????? and counting ??#?? ???? ????????, outperforming Hugging Face’s Open Deep Research ?? ?????????? ????????-???????????? ??????????-?????????? ?????????????????????????? ?????????????????? ?? ???????? ????: OWL developer meeting & Discord community launching soon！ ???????? ?????? ???????????? ?????? ?????????? ???? ?????? ??????????! https://lnkd.in/grrtF36K

?????? ???????? ???????????? ?????? ?????????????????????? Here’s a short breakdown ↓ . . ??. ?????? ???????? ???? ???????? ??????? ??Quality & diversity?define an LLM’s performance ? Poor data leads to?bias & weak generalization ? Well-curated datasets improve?accuracy & adaptability ??. ???????? ???????????????????? & ?????????????????????? ??Define objectives?– Domains, languages, & styles ??Use diverse sources?– Books, blogs, research papers, & real-world data ??Filter & refine?– Remove low-quality & redundant content ??. ?????????????????????????? & ???????????????????????? ? Converts text into?structured tokens?(BPE, WordPiece) ? Embeddings capture?semantic meaning ? Optimized tokenization?reduces training costs ??. ?????????????? ?????????????? & ?????????????? ?????????????? ??Remove harmful content?– Misinfo, bias, & noise ??De-duplicate & clean?– Avoid redundant data ??Ensure balance?– Mix formal & informal text ??. ?????????? ?????????????? ???? ???????? ??????????-???? ???CAMEL-AI?can help you to leverage: ??Multi-agent AI systems?– Simulate, coordinate, & execute complex workflows ??Fine-tuning & retrieval?– RAG pipelines, dataset curation, & inference optimization ??Tool & memory integration?– Agents that persist knowledge & reason better ?????????????????? ????????????????????, ?????????????????? ??????????????????????????, & ???????? ???????? ???Read the full article & explore the Data Generation Blog Series! https://lnkd.in/grZz7HkJ ?? Questions? Join the?CAMEL-AI Discord?& let’s discuss. https://lnkd.in/eM4PKqMc ??Found this useful? Give a star on GitHub! https://lnkd.in/dhKAkb_Z

??????????: ???????????????????? ?? ?????????????? ???????????? ???? ???????????? ?????????? (Here’s a short rundown) ↓ . . ??. ???????? ???? ??????????? ? An open-source project that lets you simulate up to 1Million AI agents on platforms like Twitter & Reddit. ? Combines LLMs + rule-based logic for realistic user interactions. ??. ???????? ???????????????????????? ? Environment Server – Stores user info, posts, and relationships. ? RecSys – Recommends posts (by interest, hot score). ? Time Engine – Activates users at different hours. ? Scalable Inferencer – ????+ ???????????????? ?????????????? (repost, comment, follow...) ??. ?????? ????’?? ???????? ? Scalable – Go from hundreds to millions of agents with unique profiles. ? Easy setup: Basic Python, a config file, and you’re off to the races. ? Study real-world problems (misinfo, group polarization, herd effect) without interacting with social platforms. Big thanks to Fahd Mirza for the detailed demo and code walkthrough! ?? ?????????????????? ? Paper: https://lnkd.in/gHGK7g37 ? Code: https://lnkd.in/etHZ_UTn ? Detailed Video: https://lnkd.in/guDygAVV

???? ???????????? ?????? ????????????????, ?????? ???????? ?????????? ?????????? ???? ?? Let’s talk about ??????????-????-??????-???????? ???? (????????) ↓ . . ?? ?????? ?????????????? AI agents are smart, but not perfect. They: ? Hallucinate – Make up facts with confidence ? Lack judgment – Struggle with nuanced decisions ? Can’t ask for help – Keep going, even when uncertain ?? ?????? ?????? By blending automation with human expertise, HITL makes AI: ? More accurate – Avoids costly mistakes ? More adaptable – Learns from real-time feedback ? More reliable – Escalates critical decisions to humans ?? How CAMEL-AI.org Does It We’ve built HITL directly into our AI agents: ? Human-In-The-Loop: Agents can consult humans during tasks using ???????????????????????? ? Human Approval: For high-stakes actions, agents pause and wait for human sign-off ?? Read the full blog for the concept, research & how CAMEL-AI built it! https://lnkd.in/gxum3A9v

CAMEL-AI Project Meeting (US Time Friendly) - Join us for our next development meeting in 2 hours to discuss our project’s latest integrations and upcoming features! We are thrilled to announce some fantastic new developments that our team will be focusing on in the upcoming weeks.?? We’re continuously improving CAMEL-AI, and your contributions or feedback are always welcome. Stay tuned for more updates as we roll out these exciting features!?For a sneak peek at the new features: https://x.com/CamelAIOrg -When: 17:00 (BST) / 09:00 (PT) -Where: https://lnkd.in/eFZizPrc

CAMEL-AI Project Meeting (US Time Friendly) - Join us for our next development meeting in 2 hours to discuss our project’s latest integrations and upcoming features! ?? When: 17:00 (BST) / 09:00 (PT) Where:https://lnkd.in/dKM8kE-M

?? CAMEL × DeepSeek-R1 × AIML API Dynamic RolePlaying Society Demo ?? Day 5 of 7 | Exploring CAMEL × DeepSeek Use Cases Build a Dynamic RolePlaying Society Session with CAMEL, DeepSeek & AIML API Customize your session: Input your own task prompt and role names on-the-fly. Interactive conversation: Experience multi-round discussions unfolding dynamically. Polished final output: AIML DeepSeek-R1 enhances clarity and precision. UI Interface: Built on Streamlit, visualizing each processing step transparently. ?? Key Features: → Dynamic session setup with personalized prompts & roles → GPT?4O mini for engaging, multi-turn interactions → AIML DeepSeek-R1 ensures refined, high-quality responses → Streamlit UI offers real-time insight into backend processing Join CAMEL's Community to connect & stay updated: :point_right:https://lnkd.in/eM4PKqMc

?? Build Your Own AI-Powered Laptop Advisor with CAMEL! ?? Ever wondered how AI can analyze specs & recommend the perfect laptop? This hands-on tutorial will guide you through building a multi-agent system using ?? CAMEL-AI.org + DeepSeek AI R1 within AI/ML. ?? Ready to build your own AI-powered assistant? Get started now! Tutorial: Colab Notebook https://lnkd.in/d7B5kCV2

?? Day 3 of 7 Use Cases of CAMEL x DeepSeek: Build a RAG System with CAMEL-AI.org, DeepSeek AI & AIML API Manually searching through documents is slow and inefficient. With CAMEL-AI, DeepSeek-R1, and AIML API, you can: ?? Upload a document & ask questions ?? Get fast, accurate, document-backed answers ?? Retrieve only the most relevant sections using Qdrant How It Works: → AIML API speeds up responses → DeepSeek-R1 ensures factual accuracy → CAMEL’s ChatAgent eliminates hallucinations → Qdrant retrieves the best document context ?? Find the code in the comments: