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ENTITY Reap

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PulseAugur coverage of Reap — every cluster mentioning Reap across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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7 over 90d
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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 8 TOTAL
  1. RESEARCH · CL_252189 ·

    MoE models get smarter pruning, retrieval, and inference efficiency

    Researchers are exploring advanced techniques for Mixture-of-Experts (MoE) language models to improve their efficiency and performance. One paper introduces HOPE (Higher-Order Pruning of Experts), a novel pruning object…

  2. TOOL · CL_234703 ·

    Cerebras offers Qwen 3.8 27B model at 1500 tokens/sec

    Cerebras has announced the availability of the Qwen 3.8 27B model on its platform, capable of processing at 1500 tokens per second. The company emphasizes that it serves original, unpruned versions of open-source models…

  3. TOOL · CL_213718 ·

    AI agents now clip video directly via Model Context Protocol

    The Model Context Protocol (MCP) is enabling AI agents to directly interact with tools, streamlining workflows like video clipping. As of August 2026, several video clipping services, including OpusClip, Reap, Submagic,…

  4. TOOL · CL_196073 ·

    REAP system extracts knowledge from LLMs for AKBC Shared Task 2026

    Researchers have developed a system called REAP for the AKBC Shared Task 2026, which focuses on building knowledge bases from language models without fine-tuning. REAP utilizes structured chain-of-thought reasoning and …

  5. TOOL · CL_193456 ·

    New LorExperts and BTExperts methods compress MoE models effectively

    Researchers have developed two new methods, LorExperts and BTExperts, for compressing Mixture-of-Experts (MoE) language models. These techniques aim to reduce the computational cost of deploying MoE models by compressin…

  6. COMMENTARY · CL_171655 ·

    Users explore extracting MoE experts from Kimi K3 model

    A user on the r/LocalLLaMA subreddit is inquiring about the possibility of extracting Mixture-of-Experts (MoE) components from the Kimi K3 model. The user mentions REAP as a tool for expert extraction and expresses a de…

  7. TOOL · CL_122974 ·

    New method prunes MoE language models using generic text corpora

    Researchers have developed a new method called Generic TB-Coverage for pruning sparsely activated Mixture-of-Experts (MoE) language models. This technique addresses the challenge of removing redundant experts without re…

  8. RESEARCH · CL_22263 ·

    Kraken acquires Reap for $600M; xAI to merge with SpaceX

    Kraken has acquired Reap for $600 million, and Core Scientific reported a Q1 net loss of $347 million. Additionally, xAI is set to merge with SpaceX, rebranding as SpaceXAI.