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OpenAIã€ä¼šè©±ã‚’記憶ã§ãる機能を「ChatGPT Plusã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ã«æ供開始
「ChatGPTã€ãªã©ã®äººå·¥çŸ¥èƒ½ï¼ˆAI）ãƒãƒ£ãƒƒãƒˆãƒœãƒƒãƒˆã‚’使ã£ã¦æ„図ã—ãŸçµæžœã‚’得られるã‹ã©ã†ã‹ã¯ã€ãƒ—ãƒãƒ³ãƒ—トã”ã¨ã«ã©ã‚Œã ã‘多ãã®èƒŒæ™¯æƒ…å ±ã‚’å«ã‚られるã‹ã«ã‹ã‹ã£ã¦ã„る。ã ãŒã€ä½œæ¥ã«æ™‚é–“ãŒã‹ã‹ã£ãŸã‚Šã€åŒã˜ä½œæ¥ã‚’ç¹°ã‚Šè¿”ã—ãŸã‚Šã™ã‚‹ã“ã¨ã«ãªã‚Šã‹ããªã„。ãã“ã§å½¹ç«‹ã¤ã®ãŒã€ChatGPTã®ã€ŒMemoryã€æ©Ÿèƒ½ã 。 OpenAIã¯ç±³å›½æ™‚é–“4月29æ—¥ã€æœ‰æ–™ç‰ˆã®ã€ŒChatGPT Plusã€ã®å…¨ãƒ¦ãƒ¼ã‚¶ãƒ¼ãŒMemory機能を利用ã§ãるよã†ã«ãªã£ãŸã“ã¨ã‚’明らã‹ã«ã—ãŸã€‚Memory機能を使ã†ã¨ã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ã‹ã‚‰æä¾›ã•ã‚ŒãŸçŸ¥è¦‹ã‚„ã€ãã®å¾Œã®å›žç”ã®ç”Ÿæˆã«å½¹ç«‹ã¤å¯èƒ½æ€§ãŒã‚ã‚‹æƒ…å ±ã‚’ã€ã“ã®ãƒãƒ£ãƒƒãƒˆãƒœãƒƒãƒˆãŒè¨˜æ†¶ã§ãるよã†ã«ãªã‚‹ã€‚ Memory is now available to all ChatGPT Plus users. Using Memory is easy: just start a new chat and tell C
Introducing OpenAI Japan
As we grow our operations internationally, we’re expanding into Asia with a new office in Tokyo, Japan. We are committed to collaborating with the Japanese government, local businesses, and research institutions to develop safe AI tools that serve Japan’s unique needs and to unlock new opportunities. We chose Tokyo as our first Asian office for its global leadership in technology, culture of servi
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ç±³OpenAIã¯4月15æ—¥ã€å¤§è¦æ¨¡è¨€èªžãƒ¢ãƒ‡ãƒ«ã€ŒGPT-4ã€ã«ã¤ã„ã¦ã€æ—¥æœ¬èªžã«æœ€é©åŒ–ã—ãŸã‚«ã‚¹ã‚¿ãƒ モデルを発表ã—ãŸã€‚日本語ã®ãƒ†ã‚ストを記述ã™ã‚‹èƒ½åŠ›ãŒå‘上ã—ã¦ãŠã‚Šã€ã€ŒGPT-4 Turboã€ã‚ˆã‚Šæœ€å¤§3å€é«˜é€Ÿã¨ã†ãŸã£ã¦ã„る。今後数カ月以内ã«APIをリリースã™ã‚‹ã¨ã„ã†ã€‚ 関連記事 OpenAIã€â€œæ€ ã‘ã«ãã„â€ã€ŒGPT-4 Turboã€ãƒ—レビューリリースや値下ã’を発表 OpenAIã¯ã€11月ã«ç™ºè¡¨ã—ãŸã€ŒGPT-4 Turboã€ã®ãƒ—レビュー版をリリースã™ã‚‹ã¨ç™ºè¡¨ã—ãŸã€‚「GPT-4ã€ãŒæ€ ã‘者ã«ãªã£ã¦ããŸã¨ã„ã†è‹¦æƒ…ã‚’å—ã‘ã€æ€ ã‘ã«ããã—ãŸã¨ã„ã†ã€‚å…¬å¼ç‰ˆã¯æ•°ã‚«æœˆä¸ã«ãƒªãƒªãƒ¼ã‚¹ã™ã‚‹è¨ˆç”»ã 。 マイクãƒã‚½ãƒ•ãƒˆæä¾›ã®â€œç¤¾å†…GPT基盤â€ã‚‚GPT-4 Turboãªã©ã«å¯¾å¿œ ç±³MicrosoftãŒã€å¤§è¦æ¨¡è¨€èªžãƒ¢ãƒ‡ãƒ«ã€ŒGPT-4ã€ãªã©ã®APIをクラウドサービス「Microsoft Azureã€çµŒç”±ã§ä½¿ãˆã‚‹ã€ŒAzure OpenA
OpenAI API
We’re releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose “text in, text out†interface, allowing users to try it on virtually any English language task. You can now request access in order to integrate the API into your product, develop an entirely new application, or help us explore
Reptile: A scalable meta-learning algorithm
We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. Reptile is the application of the Shortest Descent algorithm to the meta-learning setting, and is mathematically similar to first-order MAML (which is a version
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