STaR: Bootstrapping Reasoning With Reasoning
Generating step-by-step "chain-of-thought" rationales improves language model performance on complex reasoning tasks like mathematics or commonsense question-answering. However, inducing language model rationale generation currently requires either constructing massive rationale datasets or sacrificing accuracy by using only few-shot inference. We propose a technique to iteratively leverage a smal
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AI at Work Is Here. Now Comes the Hard Part
AI at Work Is Here. Now Comes the Hard PartEmployees want AI, leaders are looking for a path forward. The data is in: 2024 is the year AI at work gets real. Use of generative AI has nearly doubled in the last six months,1 with 75% of global knowledge workers using it. And employees, struggling under the pace and volume of work, are bringing their own AI to work. While leaders agree AI is a busines
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AITuber「ã—ãšãã€é–‹ç™ºè€…ã¨ã—ã¦ã‚‚知られるã€ã‚ã先生ã“ã¨akio kodairaæ°ã‚’ç†é ã«ã—ãŸç ”究グループã¯12月21æ—¥ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ç”»åƒç”Ÿæˆã‚’実ç¾ã™ã‚‹ãŸã‚ã«æœ€é©åŒ–ã•ã‚ŒãŸãƒ‘イプライン「StreamDiffusionã€ã‚’発表。従æ¥ã®ç”»åƒç”Ÿæˆãƒ‘イプラインã¨æ¯”ã¹ã¦é£›èºçš„ãªé€Ÿåº¦å‘上を実ç¾ã—ã¦ã„る。 ノイズ除去をãƒãƒƒãƒå‡¦ç†ã§é«˜é€ŸåŒ– 「Stable Diffusionã€ã‚’ã¯ã˜ã‚ã¨ã™ã‚‹ç”»åƒç”ŸæˆAIモデルã®é«˜æ€§èƒ½åŒ–ã¯è‘—ã—ã„ãŒã€ãƒ¡ã‚¿ãƒãƒ¼ã‚¹ã€ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ãªã©é«˜ã‚¹ãƒ«ãƒ¼ãƒ—ットã¨ä½Žãƒ¬ã‚¤ãƒ†ãƒ³ã‚·ãƒ¼ãŒå¿…è¦ãªç’°å¢ƒã§ã¯ã¾ã 力ä¸è¶³ã 。 StreamDiffusionã¯æ–°ã—ã„アプãƒãƒ¼ãƒã‚’採用ã—ã€å¾“æ¥ã®é€£ç¶šçš„ãªãƒŽã‚¤ã‚ºé™¤åŽ»ã‚’ãƒãƒƒãƒå‡¦ç†ã®ãƒ—ãƒã‚»ã‚¹ã«å¤‰æ›ã™ã‚‹ã“ã¨ã§ã€é«˜ã‚¹ãƒ«ãƒ¼ãƒ—ットストリームを実ç¾ã€‚ã•ã‚‰ã«ã€GPUã®åˆ©ç”¨åŠ¹çŽ‡ã‚’å‘上ã•ã›ã‚‹ãŸã‚ã€å¾“æ¥ã®åˆ†é¡žå™¨ãƒ•ãƒªãƒ¼ã‚¬ã‚¤ãƒ€ãƒ³ã‚¹ï¼ˆCFG）ã«ä»£ã‚ã‚Šã€æ®‹å·®åˆ†é¡žå™¨ãƒ•ãƒªãƒ¼ã‚¬ã‚¤ãƒ€ãƒ³ã‚¹ï¼ˆRCFG
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The Economic Case for Generative AI and Foundation Models | Andreessen Horowitz
Artificial intelligence has been a staple in computer science since the 1950s. Over the years, it has also made a lot of money for the businesses able to deploy it effectively. However, as we explained in a recent op-ed piece for the Wall Street Journal—which is a good starting point for the more detailed argument we make here—most of those gains have gone to large incumbent vendors (like Google o
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FACT SHEET: Biden-Harris Administration Outlines Coordinated Approach to Harness Power of AI for U.S. National Security | The White House
Scaling Laws for Pre-training Agents and World Models
SSII2024 [SS1] 拡散モデルã®ä»Šã€€ã€œ 2024å¹´ã®ç ”ç©¶å‹•å‘ ã€œ![SSII2024 [SS1] 拡散モデルã®ä»Šã€€ã€œ 2024å¹´ã®ç ”ç©¶å‹•å‘ ã€œ](https://cdn-ak-scissors.b.st-hatena.com/image/square/cd7bb61d0fc9e95ba77f8f29fea53e4172c6fddc/height=288;version=1;width=512/https%3A%2F%2Ffiles.speakerdeck.com%2Fpresentations%2F8c0306a81d9148f1a5d83ecfaa487a38%2Fslide_0.jpg%3F30590790)
AI in software engineering at Google: Progress and the path ahead
ChatGPT gets the headlines, but scientific research like AlphaFold is also the future of AI, says Google DeepMind CEO Demis Hassabis
Personal and Psychological Dimensions of AI Researchers Confronting AI Catastrophic Risks - Yoshua Bengio
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The Age of AI has begun
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