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ãã®è¨äºã«ã¤ã㦠æ¬è¨äºã¯ Ubie Tech Advent Calendar 2025 19 æ¥ç®ã®è¨äºã§ãï¼ LLM ãæ´»ç¨ãããããã¯ãéçºã«ããã¦ããçæçµæã®å質ãã©ãè©ä¾¡ããããã¯å¸¸ã«å¤§ããªèª²é¡ã§ãã ã¢ãã«ã®æ´æ°ãããã³ããã®æ¹åãRAG ã®æ¤ç´¢ç²¾åº¦ã®åä¸ãªã©ãããããæ¹åæ´»åã«ããã¦ãä¿¡é ¼ã§ãããè©ä¾¡ææ¨ï¼ã¡ããªã¯ã¹ï¼ãããªããã°ããããæ¹åãªã®ãæ¹æªãªã®ãã夿ã§ãã¾ããã Ubie ã§ã¯ãLLM ãæ´»ç¨ããçæ´»è ã®å¥åº·ã«é¢ããç¸è«ã«å¿çããã¢ããªã±ã¼ã·ã§ã³ã®éçºã»éç¨ãã¦ãã¾ããå»çã»å¥åº·ã¨ãããã¡ã¤ã³ã®ç¹æ§ä¸ãæ£ç¢ºæ§ãå®å ¨æ§ã«ã¯é«ãæ°´æºãæ±ãããã¾ããã¾ãã"Helpfulness"ï¼æç¨æ§ï¼ã "Empathy"ï¼å ±ææ§ï¼ã¨ãã£ã宿§çãªä¾¡å¤ãåæã«æ ä¿ããå¿ è¦ãããã¾ãã ãã®ãããªè¤éãªè¦ä»¶ãæºãããããç§ãã¡ã¯ LLM-as-a-Judge ï¼LLM ã«ããèª
èè 西è¦å ¬å®ï¼ã«ãã¿ã¾ãã²ãï¼ï¼åç°çå¾ï¼ããã ãããï¼ï¼å¤§å¶å樹ï¼ãããã¾ãããï¼ãè å®ä¾¡ 3,300åï¼æ¬ä½3,000åï¼ç¨10%ï¼ çºå£²æ¥ 2025.12.26 å¤å B5å¤å½¢ é æ° 304ãã¼ã¸ ISBN 978-4-297-15354-0 978-4-297-15355-7 æ¦è¦ æ¬æ¸ã¯ãClaude Codeã®åºæ¬çãªä½¿ãæ¹ããã¯ãããã¹ããã¯é§åéçºããã¹ã¿ã¼ãããã¨ã§ãå¤§è¦æ¨¡è¨èªã¢ãã«ï¼LLMï¼ã¨ã½ããã¦ã§ã¢ã¨ã³ã¸ãã¢ãªã³ã°ãçµ±åããæ¹æ³ã解説ããæ¸ç±ã§ããClaude Codeãã¯ããã¨ãããã¾ãã¾ãªã³ã¼ãã£ã³ã°ã¨ã¼ã¸ã§ã³ãã¯ãåãªããéæ³ã®ããã«ã³ã¼ããçæããAIæ©è½ãã§ã¯ããã¾ãããLLMã®èªå¾çãªæ¨è«è½åã¨ã¨ã¼ã¸ã§ã³ããã¬ã¼ã ã¯ã¼ã¯ã®æ©è½æ§ãçµ±åãããã¨ã§ãè¦æ±ã®ç²¾ç·»å â éæããããã®è¨ç»ç«æ¡ â ã¿ã¹ã¯ã®å®è¡ â å®è¡çµæã®æ¤è¨¼ã¨ããã½ããã¦ã§ã¢éçºã«ã
10th December 2025 Iâve started using the term HTML tools to refer to HTML applications that Iâve been building which combine HTML, JavaScript, and CSS in a single file and use them to provide useful functionality. I have built over 150 of these in the past two years, almost all of them written by LLMs. This article presents a collection of useful patterns Iâve discovered along the way. First, som
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Storybook generates a manifest file for all components. It is a JSON file containing all the available metadata about components (name, props, examples, etc.) as well as any documentation (MDX) pages. As this could get big very fast, each component is separated into its own JSON file, referenced by the main components-manifest.json. Storybookâs Dev server will dynamically serve these manifests at
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Menu. Currently selected: Path-scoped instruction files now supported in Copilot code review Copilot code review is becoming even more customizable! You can now use your existing path-scoped instruction files to provide targeted guidance for specific parts of your repository. Plus we have a few other important updates for you to know about. ð Path-scoped instruction files now supported in Copilot
For the last year, Iâve been working as part of the Chrome built-in AI team on a set of APIs to bring various AI models to the web browser. As with all APIs we ship, our goal is to make these APIs compelling enough that other browsers adopt them, and they become part of the webâs standard library. Working in such a fast-moving space brings tension with the usual process for building web APIs. When
Perplexity is using stealth, undeclared crawlers to evade website no-crawl directives2025-08-04 We are observing stealth crawling behavior from Perplexity, an AI-powered answer engine. Although Perplexity initially crawls from their declared user agent, when they are presented with a network block, they appear to obscure their crawling identity in an attempt to circumvent the websiteâs preferences
Large Language Models (LLMs) are increasingly deployed in agentic systems that interact with an untrusted environment. However, LLM agents are vulnerable to prompt injection attacks when handling untrusted data. In this paper we propose CaMeL, a robust defense that creates a protective system layer around the LLM, securing it even when underlying models are susceptible to attacks. To operate, CaMe
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