Filebase | The InterPlanetary Development PlatformFrom IPFS pinning to dedicated IPFS gateways and IPNS names, Filebase provides all the tools you need to build the best decentralized applications.
S&P 500 PE Ratio - Multpl
Price to earnings ratio, based on trailing twelve month “as reportedâ€Â earnings. Current PE is estimated from latest reported earnings and current market price. Source: Robert Shiller and his book Irrational Exuberance for historic S&P 500 PE Ratio. Information is provided ‘as is’ and solely for informational purposes, not for trading purposes or advice, and may be delayed.
Open Source Tools for Neuroscience
We provide anyone with a computer, the tools necessary to sample the electrical activity of their body. Our versatile and affordable bio-sensing microcontrollers can be used to sample electrical brain activity (EEG), muscle activity (EMG), heart rate (EKG), and much more. Our 3D-printable EEG headsets can be used to get research-grade EEG recordings.
Pytestã§ã‚«ã‚¹ã‚¿ãƒ マークを使ã£ã¦ç‰¹å®šã®ãƒ†ã‚¹ãƒˆã®ã¿ã‚’実行ã™ã‚‹ | DevelopersIO
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Link and Publish your data | Open data sharing & Download | LinkData
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Pythonã®ã‚¹ã‚¯ãƒªãƒ—トã‹ã‚‰ã‚¦ã‚§ãƒ–アプリを簡å˜ã«ä½œã‚Œã‚‹Streamlitã‚’ã•ã‚ã£ã¦ã¿ãŸ | DevelopersIO
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Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
This paper presents a comprehensive and practical guide for practitioners and end-users working with Large Language Models (LLMs) in their downstream natural language processing (NLP) tasks. We provide discussions and insights into the usage of LLMs from the perspectives of models, data, and downstream tasks. Firstly, we offer an introduction and brief summary of current GPT- and BERT-style LLMs.
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
How do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, we introduce \textit{Pythia}, a suite of 16 LLMs all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameters. We provide public access to 154 checkpoints for each one of the 16 models, alongside tools
マイクãƒã‚½ãƒ•ãƒˆã€ChatGPTã«ä»»æ„ã®ãƒ‰ã‚ュメントをèªã¿è¾¼ã¾ã›ã¦å›žç”を得られる「Azure OpenAI Service On Your Dataã€ãƒ‘ブリックプレビュー開始
マイクãƒã‚½ãƒ•ãƒˆã¯ã€ChatGPTã¨ChatGPT-4ã«ä»»æ„ã®ãƒ‰ã‚ュメントãªã©ã‚’èªã¿è¾¼ã¾ã›ã‚‹ã“ã¨ã§ã€ãã®ãƒ‰ã‚ュメントã«åŸºã¥ã„ãŸå›žç”を自然言語ã§å¾—られる新サービス「Azure OpenAI Service On Your Dataã€ã®ãƒ‘ブリックプレビューを発表ã—ã¾ã—ãŸã€‚ 例ãˆã°ã€ç¤¾å†…è¦ç´„や社内マニュアルãªã©ã‚’ChatGPTã«èªã¿è¾¼ã¾ã›ã‚‹ã¨ã€ã€ŒPCã®ä¿®ç†ã‚’申ã—込むãŸã‚ã®ç¤¾å†…手続ãã¯ï¼Ÿã€ã¨ã„ã£ãŸã€æ±Žç”¨ã®çŸ¥è˜ã ã‘ã—ã‹æŒãŸãªã„従æ¥ã®ChatGPTã§ã¯ç”ãˆã‚‰ã‚Œãªã„質å•ã«ã‚‚回ç”ã§ãるよã†ã«ãªã‚Šã¾ã™ã€‚ ã•ã‚‰ã«ã€ChatGPT/ChatGPT-4ã«ä»»æ„ã®ãƒ‰ã‚ュメントをèªã¿è¾¼ã¾ã›ã‚‹ãŸã‚ã®æ”¯æ´ãƒ„ール「Azure AI Studioã€ã«ã¯ã€ãã®ã¾ã¾ãƒãƒ£ãƒƒãƒˆãƒœãƒƒãƒˆAIã‚’Webアプリケーションã¨ã—ã¦å…¬é–‹ã™ã‚‹æ©Ÿèƒ½ãŒå‚™ã‚ã£ã¦ã„ã¾ã™ã€‚ ã“ã‚Œã«ã‚ˆã‚Šã€ãƒ‰ã‚ュメントやデータをèªã¿è¾¼ã¾ã›ã‚‹ã‚ˆã†ã«è¨å®šã—ãŸãƒãƒ£ãƒƒãƒˆAIã®ã‚µãƒ¼ãƒ“スをã€ç°¡å˜
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「社内ã®ã‚¢ãƒ¬åˆ†ã‹ã‚‰ã‚“ã€æ•™ãˆã¦AIã€å®Ÿç¾ã€€Microsoftã®â€œè‡ªç¤¾ç‰ˆChatGPT作æˆã‚µãƒ¼ãƒ“スâ€ã«ãƒ‡ãƒ¼ã‚¿å–ã‚Šè¾¼ã¿æ©Ÿèƒ½ ç±³Microsoftã¯6月19日（ç¾åœ°æ™‚間）ã€å¤§è¦æ¨¡è¨€èªžãƒ¢ãƒ‡ãƒ«ã€ŒGPT-3.5ã€ãªã©ã®APIをクラウドサービス「Microsoft Azureã€ä¸Šã§ä½¿ãˆã‚‹ã€ŒAzure OpenAI Serviceã€ã«ã€æ–°æ©Ÿèƒ½ã€ŒOn Your Dataã€ã‚’è¿½åŠ ã—ãŸã€‚ãƒãƒ¼ã‚«ãƒ«ã‚„Azure上ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã«ä¿ç®¡ã™ã‚‹ãƒ†ã‚ストファイルやPDFã€PowerPointファイルをã€GUIã®æ“作ã§ãƒãƒ£ãƒƒãƒˆAIã«å‚ç…§ã•ã›ã‚‰ã‚Œã‚‹ã¨ã„ã†ã€‚ã¾ãšã¯ãƒ‘ブリックプレビュー版をæä¾›ã™ã‚‹ã€‚ ã“ã‚Œã«ã‚ˆã‚Šã€ç¤¾å†…ã§åˆ†ã‹ã‚‰ãªã„ã“ã¨ãŒã‚ã£ãŸã¨ãã«ä½•ã§ã‚‚質å•ã§ãã‚‹AIãƒãƒ£ãƒƒãƒˆbotãªã©ã‚’作æˆã—ã‚„ã™ããªã‚‹ã¨ã„ã†ã€‚ MicrosoftãŒæ案ã™ã‚‹æ´»ç”¨ä¾‹ã§ã¯ã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®ã€Œã‚µãƒãƒ¼ãƒˆãƒã‚±ãƒƒãƒˆã¯ã©ã†ã‚„ã£ã¦ä½œã‚‹ï¼Ÿã€ï¼ˆHow do I create a s
Library Architecture · spaCy API Documentation
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