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Compile classical ML models to native C. Serve them in microseconds. Documentation · Changelog · PyPI · Technical Paper · Agent Skill Timber takes a trained ML model â XGBoost, LightGBM, scikit-learn, CatBoost, or ONNX (tree ensembles, linear models, SVMs) â runs it through a multi-pass optimizing compiler, and emits a self-contained C99 inference artifact with zero runtime dependencies. A built-i
Sponsored by: Augment Code â Agent Orchestration. Living Specs. Your favorite agents. Build with Intent. Agentic Engineering Patterns Patterns for getting the best results out of coding agents like Claude Code and OpenAI Codex. See my introduction for more on this project. Principles Writing code is cheap now Hoard things you know how to do Testing and QA Red/green TDD First run the tests Understa
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The fastest reasoning LLM, powered by diffusionToday, we're introducing Mercury 2 â the world's fastest reasoning language model, built to make production AI feel instant. Why speed matters more nowProduction AI isn't one prompt and one answer anymore. It's loops: agents, retrieval pipelines, and extraction jobs running in the background at volume. In loops, latency doesnât show up once. It compou
Reranker Turbo 㨠Tiny ã¯ãæ å ±æ¤ç´¢ã¢ããªã±ã¼ã·ã§ã³ã«ããã¦è¶ é«éãªå¿çæéãå®ç¾ããããã«æé©åããã¦ãã¾ããç§ãã¡ã®åãè¾¼ã¿ã¢ãã«ã¨åæ§ã«ãããã㯠JinaBERT ã¢ã¼ããã¯ãã£ã使ç¨ãã¦ããããã㯠BERT ã¢ã¼ããã¯ãã£ã«ALiBi ã®å¯¾ç§°åæ¹åããªã¢ã³ããå ãããã®ã§ãããã®ã¢ã¼ããã¯ãã£ã«ãããæå¤§ 8,192 ãã¼ã¯ã³ã¾ã§ã®é·ãããã¹ãã·ã¼ã±ã³ã¹ããµãã¼ããããã大ããªææ¸ã®æ·±ãåæã詳細ãªè¨èªçè§£ãå¿ è¦ã¨ããè¤éãªã¯ã¨ãªã«çæ³çã§ãã Turbo 㨠Tiny ã¢ãã«ã¯ãJina Reranker v1 ããå¾ãããç¥è¦ãæ´»ç¨ãã¦ãã¾ãããªã©ã³ãã³ã°ã¯æ å ±æ¤ç´¢ã¢ããªã±ã¼ã·ã§ã³ã®ä¸»è¦ãªããã«ããã¯ã¨ãªãå¯è½æ§ãããã¾ãã徿¥ã®æ¤ç´¢ã¢ããªã±ã¼ã·ã§ã³ã¯éå¸¸ã«æçããæè¡ã§ããããã®æ§è½ã¯ååã«çè§£ããã¦ãã¾ãããªã©ã³ã«ã¼ã¯ããã¹ããã¼ã¹ã®æ¤ç´¢ã«é«ã精度ã
åç°çå¾ (@yoshidashingo) ã§ãã ããã ãã¯è¦ãã¦å¸°ã£ã¦ãð¡ ãã¤ãã³ã¼ãã£ã³ã°ã®å¯¾æ¥µã«ãã仿§é§åéçºã¯ãã½ããã¦ã§ã¢ã¨ã³ã¸ãã¢ãªã³ã°ã®åºæ¬ååãAIæä»£ã«åç¾ããã¢ããã¼ã 仿§é§åéçºã¯ä»æ§ã§ãéçºã©ã¤ããµã¤ã¯ã«ããé§åããã®ã§ã¯ãªãã仿§ãå¯ä¸ã®æ å ±æº (Single Source of Truth) ã¨ãã¤ã¤ãããã»ã¹ã¯ã«ã¼ã«ããã¯ã«ãã£ã¦é§åããã Claude Codeã§ã®ã¹ãã¢ãªã³ã°ã«ã¯è¤æ°ã®æ¹æ³ããããCLAUDE.mdã»ã¹ãã«ã»AI-DLCã®ã«ã¼ã«ããã¯ãªã©ãç®çã«å¿ãã使ãåãã¨åµæå·¥å¤«ã®ä½å°ããã å®è·µClaude Codeå ¥éâç¾å ´ã§æ´»ç¨ããããã®AIã³ã¼ãã£ã³ã°ã®æèæ³ ã¨ã³ã¸ãã¢é¸æ¸ ä½è :è¥¿è¦ å ¬å®,åç° çå¾,å¤§å¶ åæ¨¹æè¡è©è«ç¤¾Amazon æ¬æ¥ããããµãã§ç»å£ãã¦ãã¾ããã event.shoeisha.jp Claude Code
Sponsored by: Augment Code â Agent Orchestration. Living Specs. Your favorite agents. Build with Intent. The biggest challenge in adopting agentic engineering practices is getting comfortable with the consequences of the fact that writing code is cheap now. Code has always been expensive. Producing a few hundred lines of clean, tested code takes most software developers a full day or more. Many of
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