2026-06-256 saved articles | Back | Library |
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| LFM2.5-230M: Built to Run Anywhere Meet LFM2.5-230M, Liquid AI’s smallest model yet: a fast, open-weight foundation model for fine-tuning, edge deployment, tool use, and data extraction. | |
| GitHub - bea4dev/ShojiWM: The most customizable Wayland compositor with TypeScript(tsx). The most customizable Wayland compositor with TypeScript(tsx). - bea4dev/ShojiWM | |
| Autopsy of a deep learning paper Introduction I read a lot of deep learning papers, typically a few/week. I’ve read probably several thousands of papers. My general problem with papers in machine learning or deep learning is… | |
| Unlimited OCR Works Recently, end-to-end OCR models, exemplified by DeepSeek OCR, have once again thrust OCR into the spotlight. A widely held view is that employing a large language model (LLM) as the decoder allows the model to leverage the prior distribution of language, leading to improved OCR performance. However, the downside is equally evident: as the output sequence lengthens, the accumulated KV cache drives up memory consumption and progressively slows down generation. This stands in stark contrast to huma | |
| GitHub - baidu/Unlimited-OCR: Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing. Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing. - baidu/Unlimited-OCR | |
| GitHub - uditgoenka/autoresearch: Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever. Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever. - uditgoenka/autoresearch |