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Source channel @githubtrending · Post #15432 · Jan 23

#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora AirLLM is a tool that lets you run very large AI models on computers with limited memory by using a smart layer-by-layer loading technique instead of traditional compression methods. You can run a 70-billion-parameter model on just 4GB of GPU memory, or even a 405-billion-parameter model on 8GB, without losing model quality. The benefit is that you can use powerful AI models on affordable hardware without expensive upgrades, and the tool also offers optional compression features that can speed up performance by up to 3 times while maintaining accuracy. https://github.com/lyogavin/airllm

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NEWS 鏈新聞-ABMedia

@abmedia_news · Post #23709 · 04/07/2026, 01:34 PM

【🚀AI 人工智慧|Agent Harness 才是關鍵:為什麼同一個 AI 模型在不同產品表現天差地遠 】 #Agent#Harness#AI 📍請見報導: https://abmedia.io/agent-harness-engineering-why-same-model-different-performance 📍訂閱鏈新聞頻道:https://linktr.ee/abmedia.io

NEWS 鏈新聞-ABMedia

@abmedia_news · Post #23801 · 04/11/2026, 09:30 AM

【🚀AI 人工智慧|Harness Engineering 是什麼?AI 的下一個戰場不是模型,而是模型外面的那層架構 】 #Harness#Engineering#AI 📍請見報導: https://abmedia.io/harness-engineering-ai-agent-framework-explained 📍訂閱鏈新聞頻道:https://linktr.ee/abmedia.io

GitHub Trends

@githubtrending · Post #15523 · 02/25/2026, 12:30 PM

#typescript#agent#agentic#agentic_framework#agentic_workflow#ai#ai_agents#bytedance#deep_research#harness#langchain#langgraph#langmanus#llm#multi_agent#nodejs#podcast#python#superagent#typescript DeerFlow 2.0 is an open-source super agent harness that orchestrates multiple sub-agents, memory systems, and sandboxed execution environments to accomplish complex tasks. Built on LangGraph and LangChain, it combines research, coding, and content creation capabilities with extensible skills and tools. The platform features isolated Docker containers for safe execution, long-term memory that learns your preferences, and the ability to spawn sub-agents that work in parallel on different task angles. You benefit from dramatically reduced research and automation time—tasks that typically take hours complete in minutes—while maintaining full transparency and control over agent decisions through human-in-the-loop collaboration. Whether you need deep research reports, data analysis, slide decks, or custom workflows, DeerFlow handles multi-step complexity without requiring extensive coding knowledge. https://github.com/bytedance/deer-flow

Desi Memes Funny Jokes

@desi_memes_funny_jokes · Post #5101 · 07/31/2024, 08:22 AM

#TransformAnger#FuelForSuccess#Harness TheEnergy #PassionDriven#Success Mindset #RiseAboveChallenges #HappinessJourney#PracticeMakesPerfect#Mindfulness#Gratitude#KindnessMatters#JoyfulMoments#PersonalGrowth#HappinessIsAChoice#SpreadLove#LiveFully#MotivationalStudio#AashiqShekhMotivational#FitnessFuelHub#RemixedRhymes#LaughingStudio