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s1: Simple test-time scaling
Test-time scaling is a promising new approach to language modeling that uses extra test-time compute to improve performance. Recently, OpenAI's o1 model showed this capability but did not publicly share its methodology, leading to many replication efforts. We seek the simplest approach to achieve test-time scaling and strong reasoning performance. First, we curate a small dataset s1K of 1,000 ques
DeepSeek-R1ã®è«–æ–‡èªã‚“ã ？ã€å‹‰å¼·ã«ãªã‚‹ã‚ˆã€‘
本記事ã¯ã€DeepSeek-R1ã®è«–æ–‡ã¨DeepSeekMathã®è«–文をèªã‚“ã ç§ã®ç†è§£ã‚’ã‚‚ã¨ã«è¨˜è¼‰ã—ã¦ã„ã¾ã™ã€‚ 本論文ã§ä½¿ã‚ã‚Œã¦ã„る技術ã«é–¢ã—ã¦ã¯ã€ã‚る程度ã®çŸ¥è˜ã‚’æŒã£ã¦ã„ã‚‹ã®ã§ã€å¤§ããã¯å¤–ã—ã¦ã„ãªã„ã¨ã¯æ€ã„ã¾ã™ãŒã€ç§ã®ä¸»è¦³ã‚‚å…¥ã£ã¦ã„る部分もã‚ã‚Šã¾ã™ã®ã§ã€ã”了承ãã ã•ã„。 ã¾ãŸã€DeepSeek-R1ã®è«–æ–‡ãŒå…¬é–‹ã•ã‚Œã‚‹å‰ã«ã€å°åž‹ãƒ¢ãƒ‡ãƒ«ã«å¯¾ã—ã¦åŒæ§˜ã®å®Ÿé¨“（強化å¦ç¿’）をã—ã¦ã„ãŸã‚°ãƒ«ãƒ¼ãƒ—ãŒã‚るよã†ã§ã™ã€‚ ãã¡ã‚‰ã®ãƒ¬ãƒãƒ¼ãƒˆã¯ä¸‹è¨˜ã«ãªã‚Šã¾ã™ã€‚ æ„図ã›ãšã€DeepSeek-R1-Zeroã®å†ç¾å®Ÿé¨“ã®ã‚ˆã†ãªãƒ¬ãƒãƒ¼ãƒˆã«ãªã£ã¦ã„ã¾ã™ãŒã€ãƒ¬ãƒãƒ¼ãƒˆã®è‘—者ã¯DeepSeek-R1è«–æ–‡ã®å…¬é–‹å‰ã‹ã‚‰å®Ÿé¨“ã—ã¦ã„ã‚‹ã¨ä¸»å¼µã—ã¦ã„ã¾ã™ã€‚ ã“ã¡ã‚‰ã‚‚éžå¸¸ã«èˆˆå‘³æ·±ã‹ã£ãŸãŸã‚紹介ã§ã™ã€‚ 本論文ã®èˆˆå‘³æ·±ã„ã¨ã“゠本論文ã¯ã€å¤§ãã分ã‘ã¦3ã¤ã®æ§‹æˆã§ã§ãã¦ã„ã¾ã™ 強化å¦ç¿’ã«ã‚ˆã‚‹æ€è€ƒèƒ½åŠ›ã®å¼·åŒ– LLM（DeepSeek-V3-Base）ã«å¯¾
Llama 3.2 Vision · Ollama Blog
Llama 3.2 Vision November 6, 2024 Llama 3.2 Vision is now available to run in Ollama, in both 11B and 90B sizes. Get started Download Ollama 0.4, then run: ollama run llama3.2-vision To run the larger 90B model: ollama run llama3.2-vision:90b To add an image to the prompt, drag and drop it into the terminal, or add a path to the image to the prompt on Linux. Note: Llama 3.2 Vision 11B requires lea
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HOME ãŠçŸ¥ã‚‰ã›ä¸€è¦§ [è§£èª¬è¿½åŠ ã—ã¾ã—ãŸ(10/10)]2024年ノーベル物ç†å¦è³žã¯ã€ã€Œäººå·¥ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«ã‚ˆã‚‹æ©Ÿæ¢°å¦ç¿’ã‚’å¯èƒ½ã«ã—ãŸåŸºç¤Žçš„発見ã¨ç™ºæ˜Žã«å¯¾ã™ã‚‹æ¥ç¸¾ã€ã«ã‚ˆã‚ŠJohn J. Hopfield æ°ï¼ˆãƒ—リンストン大å¦ã€ã‚¢ãƒ¡ãƒªã‚«ï¼‰ã€Geoffrey E. Hinton æ°ï¼ˆãƒˆãƒãƒ³ãƒˆå¤§å¦ã€ã‚«ãƒŠãƒ€ï¼‰ã®2æ°ãŒå—賞ã™ã‚‹ã“ã¨ã«æ±ºå®šã€‚ ãŠçŸ¥ã‚‰ã›ä¸€è¦§ [è§£èª¬è¿½åŠ ã—ã¾ã—ãŸ(10/10)]2024年ノーベル物ç†å¦è³žã¯ã€ã€Œäººå·¥ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«ã‚ˆã‚‹æ©Ÿæ¢°å¦ç¿’ã‚’å¯èƒ½ã«ã—ãŸåŸºç¤Žçš„発見ã¨ç™ºæ˜Žã«å¯¾ã™ã‚‹æ¥ç¸¾ã€ã«ã‚ˆã‚ŠJohn J. Hopfield æ°ï¼ˆãƒ—リンストン大å¦ã€ã‚¢ãƒ¡ãƒªã‚«ï¼‰ã€Geoffrey E. Hinton æ°ï¼ˆãƒˆãƒãƒ³ãƒˆå¤§å¦ã€ã‚«ãƒŠãƒ€ï¼‰ã®2æ°ãŒå—賞ã™ã‚‹ã“ã¨ã«æ±ºå®šã€‚ 公開日：2024å¹´10月8æ—¥ 2024å¹´ã®ãƒŽãƒ¼ãƒ™ãƒ«ç‰©ç†å¦è³žã¯ã€ã€Œäººå·¥ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«ã‚ˆã‚‹æ©Ÿæ¢°å¦ç¿’ã‚’å¯èƒ½ã«ã—ãŸåŸºç¤Žçš„発見ã¨ç™º
MIMO
MIMO, a generalizable model for controllable video synthesis, can Mimic anyone anywhere in complex Motions with Object interactions Abstract Character video synthesis aims to produce realistic videos of animatable characters within lifelike scenes. As a fundamental problem in the computer vision and graphics community, 3D works typically require multi-view captures for per-case training, which sev
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ã“ã‚“ã«ã¡ã¯ã€‚iOSã®æ—¥æœ¬èªžå…¥åŠ›ã‚¢ãƒ—リã§ã‚る「azooKeyã€ã‚’開発ã—ã¦ã„ã‚‹Miwaã§ã™ã€‚ azooKeyã¯æœ€è¿‘macOS版ã®é–‹ç™ºãŒé€²ã‚“ã§ã„ã¾ã™ã€‚ã“ã®azooKey on macOSã«ã€å®Œå…¨ã«ãƒãƒ¼ã‚«ãƒ«ã§å‹•ä½œã™ã‚‹ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ã‹ãªæ¼¢å—変æ›ã‚¨ãƒ³ã‚¸ãƒ³ã§ã‚る「Zenzaiã€ã‚’開発ã—ã€æ載ã—ã¾ã™ã€‚ã“ã®è¨˜äº‹ã§ã¯Zenzaiã®æŠ€è¡“を解説ã—ã¾ã™ã€‚ Zenzaiã‚’æ載ã—ãŸazooKey on macOSã¯ç¾åœ¨ã‚¢ãƒ«ãƒ•ã‚¡ç‰ˆã¨ã—ã¦ãƒªãƒªãƒ¼ã‚¹ã—ã¦ã„ã¾ã™ã€‚macOSã‚’ã”利用ã®æ–¹ã¯ãœã²å…¥ã‚Œã¦è©¦ã—ã¦ã¿ã¦ãã ã•ã„ï¼ Zenzaiã®æ¦‚è¦ æ—¥æœ¬èªžå…¥åŠ›ã«æ¬ ã‹ã›ãªã„ã‹ãªæ¼¢å—変æ›ã§ã™ãŒã€ãã®æ´å²ã¯é•·ãã€50å¹´ã«ã‚‚åŠã³ã¾ã™ã€‚ã“ã®é–“様々ãªã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãŒæ案ã•ã‚Œåˆ©ç”¨ã•ã‚Œã¦ãã¾ã—ãŸãŒã€è¿‘å¹´ã®æŠ€è¡“開発ã¯ã‚„ã‚„è½ã¡ç€ãã¤ã¤ã‚ã‚Šã¾ã™ã€‚オープンソースã®ã‹ãªæ¼¢å—変æ›ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ä»Šã§ã‚‚広ã利用ã•ã‚Œã¦ã„ã‚‹ã‚‚ã®ã¯æ•°ãˆã‚‹ã»ã©ã—ã‹ã‚ã‚Šã¾ã›ã‚“。 クãƒãƒ¼ã‚ºãƒ‰ã‚½ãƒ¼ã‚¹ã®ã‚·ã‚¹ãƒ†
Transformer Explainer: LLM Transformer Model Visually Explained
What is a Transformer? Transformer is a neural network architecture that has fundamentally changed the approach to Artificial Intelligence. Transformer was first introduced in the seminal paper "Attention is All You Need" in 2017 and has since become the go-to architecture for deep learning models, powering text-generative models like OpenAI's GPT, Meta's Llama, and Google's Gemini. Beyond text, T
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Runway Research | Introducing Gen-3 Alpha: A New Frontier for Video Generation
Gen-3 Alpha is the first of the next generation of foundation models trained by Runway on a new infrastructure built for large-scale multimodal training. It is a major improvement in fidelity, consistency, and motion over Gen-2, and a step towards building General World Models. All of the videos on this page were generated with Gen-3 Alpha with no modifications.
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Zero-shot mono-to-binaural speech synthesis
MMAudio
Introducing Command R7B: Fast and efficient generative AI
FLOAT
GitHub - meta-llama/llama-stack: Model components of the Llama Stack APIs
https://loopyavatar.github.io/
Matryoshka Diffusion Models
Kling AI - Kuaishou Kling Video Model Make Imagination Alive
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