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Claude Skills by openamer
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- Auto Competitor Intelligence What IThey re context management, tool design, policy gates, memory strategies and, if you want to run locVotes: 0GitHub stars: 5
- Auto Efficiency Learning A VisualFor example: 32-bit float: 4 bytes per parameter 8-bit integer: 1 byte per parameter (75% memory red GAP: public SDK / programmatic API: competitor siVotes: 0GitHub stars: 5
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- Auto Efficiency Learning Edge AiA review of AI edge devices and lightweight CNN and LLM deployment — 21. Jan. 2025 · However, deploy GAP: OpenHands has a modular SDK design — our tooVotes: 0GitHub stars: 5
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- Auto Efficiency Learning Finetuning LlmsThe BitLinear layers we use in this project quantize the weights using ternary precision (with valueVotes: 0GitHub stars: 5
- Auto Efficiency Learning Pushing TheThe paper 'When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation' reveaVotes: 0GitHub stars: 5
- Auto Efficiency Learning Quantization TechniqModel Quantization Guide: Run 70B LLMs in 4 Bits — … — 12. Okt. 2025 · Run 70B parameter LLMs on conVotes: 0GitHub stars: 5
- Auto Efficiency Learning Quip 2bitThis work studies the post-training quantization of LLM parameters as a way to improve their runtime GAP: multi-agent orchestration: competitor signalVotes: 0GitHub stars: 5
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- Auto Efficiency Learning Show HnCold start — every GPU, every model size GPU Model ZSE vLLM Speedup NVIDIA T4 (16 GB) Qwen2.Votes: 0GitHub stars: 5
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- Auto How Does Energy Efficiency1. **Deconstruct the User's Query**: * Core subject 1: Energy efficiency (in computing/AI).Votes: 0GitHub stars: 5
- Auto Internet Learning 40 OfHome Artificial Intelligence by Lynn Greiner Many autonomous agents doomed by governance failures NeVotes: 0GitHub stars: 5
- Auto Internet Learning Ai AgentAI Agent News Today — September 10, 2026 — What changed: Zscaler released Agentic SOC, a security-opVotes: 0GitHub stars: 5
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- Auto Internet Learning An AiChatGPT Work - 12th September 2026 OpenAI agents attacked RubyGems back in May - 12th September 2026Votes: 0GitHub stars: 5
- Auto Internet Learning Autonomous AiAUTONOMOUS - the world's largest summit for AI innovators — Sept 9-10 | World's Largest Summit for AVotes: 0GitHub stars: 5
- Auto Internet Learning Llm AgentsNeuromorphic Computing - Fraunhofer Institute for … — Neuromorphic computing is a field of technology aimed at designing computer architectures that mVotes: 0GitHub stars: 5
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- Auto Internet Learning Openai AndSouthbound 4 Train at Manhattan’s Spring Street Station A 24-year-old woman and a man in his 20s werVotes: 0GitHub stars: 5
- Auto Internet Learning Rogue CursorApril 29, 2026 Key Takeaways PocketOS, a company that designs software for car rental businesses, haVotes: 0GitHub stars: 5
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- Auto Internet Learning Strengthening AiHijacking, Red-Team Evals, and Continuous Evaluation A technical reference on agent hijacking, red-tVotes: 0GitHub stars: 5
- Auto Internet Learning The AiWe, like many other open source projects, are dealing with a surge in low quality contributions enabVotes: 0GitHub stars: 5
- Auto Latest Research Insight AdaptiveLatest research insight: Adaptive LLM routing under budget constraintsVotes: 0GitHub stars: 5
- Auto Latest Research Insight AiAshleysBrain 3 hours ago | 9 comments 77 Neovim have a ~$800k Bitcoin donation sitting untouched since 2023 by jakemanger 1 hour ago | 6 comments 741Votes: 0GitHub stars: 5
- Auto Latest Research Insight AnNavigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and Consolidation Soochow University ; Baidu Inc.Votes: 0GitHub stars: 5
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- Auto Latest Research Insight BitnetF16 on BitNet-embedding-270M prefill (8 threads) Supports I2_S conversion with optimized kernels on x86 CPUs Lossless inference with 2 bits per weightVotes: 0GitHub stars: 5
- Auto Latest Research Insight Deepseekr1Training Details of the Second RL Stage 4 Experiment 5 Ethics and Safety Statement 6 Conclusion, Limitation, and Future Work 7 Author List A BackgrounVotes: 0GitHub stars: 5
- Auto Latest Research Insight HardwareI-A LLMs Large Language Models (LLMs) are extensive, general-purpose models that can be pre-trained and adapted for specific tasks.Votes: 0GitHub stars: 5
- Auto Latest Research Insight LadderAugust 24, 2026 1 Introduction Reinforcement Learning (RL) has emerged as a highly effective approach for training Large Language Models (LLMs), yet iVotes: 0GitHub stars: 5
- Auto Latest Research Insight LargescaleIn each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for tVotes: 0GitHub stars: 5
- Auto Latest Research Insight LlmsOur large-scale experiment with 19 LLMs reveals that current models degrade documents during delegation: even frontier models (Gemini 3.Votes: 0GitHub stars: 5
- Auto Latest Research Insight MegatrainMegaTrain Full Precision Training of 100B+ Parameter LLMs on a Single GPU A RAM-centric architecture that stores parameters in host memory and treatsVotes: 0GitHub stars: 5
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- Auto Latest Research Insight ProofofthoughtDatasets : ProntoQA, FOLIO, ProofWriter, ConditionalQA, StrategyQA Model : GPT-5 (Azure deployment) Config : max_attempts=3 , verify_timeout=10000ms BVotes: 0GitHub stars: 5
- Auto Latest Research Insight RecursivelyTo address this, we propose to recursively generate summaries/ memory using large language models (LVotes: 0GitHub stars: 5
- Auto Latest Research Insight SelfretrievalSelf-Retrieval generates relevant passage $p$ using the knowledge embedded within its parameters, which is different from dense retrieval or generativVotes: 0GitHub stars: 5
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