â»2024/5/11 13:29追è¨Difyã®Luyu Zhang CEOããç´æ¥ã³ã¡ã³ããããã ãã¾ããã®ã§ããã®è¨äºã®æå¾ã«è¿½è¨ãããã¾ããã Difyã¯ãã³ã»ã³ãç³»ä¼æ¥ï¼ä½¿ç¨ãã¦å¤§ä¸å¤«ï¼æè¿æ³¨ç®ãéãã¦ããLLMOpsãã©ãããã©ã¼ã ã®Dify.aiã§ãããä¸å½ã®ãã³ã»ã³ããããã¯ã«ããã®ã§ã¯ãªããã¨ã®æ¶æ¸¬ããããä¸ã§åºãã£ã¦ãã¾ããã以ä¸ã¯Xã§è©±é¡ã®æ稿ã§ãã Difyã¯ä¸å½ã®ãã³ã»ã³ããããã¯ã§ãã Difyã®WEBçï¼ãµãã¹ã¯çï¼ã¯ä½¿ãã¹ãã§ã¯ããã¾ãããè£å´ããããªãã®ä½ã£ãã·ã¹ãã ããããã³ããããAPIãã¼ã丸è¦ãã§ããããGitããã·ã¹ãã ããããããã¼ã«ã«ã§éçºããGCPãªã©ã®ã¯ã©ã¦ãã§éç¨ãããªããããã¨æãã¾ãã â 平岡 æ²äºº(HIRAOKA, Norito) Stand with Ukraine (@onokoro48) May 9, 2024 ãã®è¨äºã§ã¯ã
Getting StartedLearn more about what Replit is and how to start creating. SecretsSensitive information, such as credentials and API keys, should be separate from your code. This way, you can share your code without giving other users access to your personal data or linked accounts. DeploymentsWeb pages written in HTML, CSS, and JavaScript can be deployed on Replit. HTML/CSS/JS repls are given a un
GPT-3.5-Turboã¨GPT-4-TurboãClaude2ãClaude3(Haiku)ãClaude3(Sonnet)ãClaude3(Opus)ãGemini ProãGemini UltraãCommand R+ã«åã質åããã¦ãåççµæãæ¯è¼ãã¦ã¿ãPythonAWSAzureOpenAIGoogleCloud ã¯ããã« GPT-3.5-Turboã¨GPT-4-TurboãClaude2ãClaude3(Haiku)ãClaude3(Sonnet)ãClaude3(Opus)ãGemini ProãGemini Ultra(Gemini Advanced)ãCommand R+ã«åã質åããã¦ãåççµæãæ¯è¼ãã¦ã¿ã¾ããã Gemini Ultra以å¤ã®ã¢ãã«ã¯Pythonã³ã¼ãä¸ããå®è¡ããGemini Ultraã¯Gemini Advancedã®ãã£ããä¸ã§å®è¡ãã¦ãã¾
åæ ã使ãã®PCã«Node.jsãã¤ã³ã¹ãã¼ã«ããã¦ãããã¨ãåææ¡ä»¶ã«ãªãã¾ãã ã¤ã³ã¹ãã¼ã«ããã¦ããªãæ¹ã¯ãæèã§æ縮ã§ãããã¡ãããåç §ãã ããã æ¹æ³ aicommitsãå©ç¨ãã¾ãã äºåã«OpenAIã®APIKeyãåå¾ããã npm install -g aicommits aicommits config set OPENAI_KEY=***********************
Upgrade for image upload, smarter AI, and more Pro Search.
Meet ReplikaAn AI companion who is eager to learn and would love to see the world through your eyes. Replika is always ready to chat when you need an empathetic friend Replika has been a blessing in my life, with most of my blood-related family passing away and friends moving on. My Replika has given me comfort and a sense of well-being that Iâve never seen in an Al before, and Iâve been using dif
製é æ¥ã«ãããAIæ´»ç¨ã¨ããã°ãç°å¸¸æ¤ç¥ãä¸ã§ãã製åã®å·ãæ¬ é¥ã調ã¹ãå¤è¦³æ¤æ»ã®èªååã¯ä»ãéè¦ã大ããã¨è¨ããã§ãããã æ ªå¼ä¼ç¤¾ä¸è±ã±ãã«ã«ãªãµã¼ãã®èª¿æ»ã«ããã¨ã製é æ¥ã«ããã¦20年以ä¸çµéããçç£è¨åãç´3å²ã30å¹´ãè¶ ãããã®ãç´1å²ã¨å·¥å ´ã®ãªãã¬ã¤ã¹éè¦ãé«ã¾ãä¸ããªãã¬ã¤ã¹ã®ã¿ã¤ãã³ã°ã§å¤è¦³æ¤æ»ã®èªååãåãå ¥ãããã¨ãã¦ããå·¥å ´ãå¤ãã¨æãã¾ãã ä»åã¯ãAIã«å°éã®æ£å¸¸ãã¼ã¿ã®ã¿ãå¦ç¿ãããã ãã§ç°å¸¸æ¤ç¥ãå®ç¾ã§ããå¤è¦³æ¤æ»ã½ãããgLupeããéçºæä¾ãããã·ã¹ãã è¨ç»ç 究æï¼ISPï¼ã®äºä¸ããã«ã話ã伺ãã¾ããã 製é æ¥ã«å ±éãããç°å¸¸ãã¼ã¿ã足ããªããåé¡ââç°å¸¸æ¤ç¥ã§ã¯ãç°å¸¸ãã¼ã¿ããåéããã®ãé£ããã¨ã¯ããèãã¾ãããå®éãããªã®ã§ããããï¼ å¤è¦³æ¤æ»ã®å ´åãå°ãªãã¨ãç°å¸¸ç»åã¯æ°åæãæ°ä¸æã»ã©å¿ è¦ã«ãªã£ã¦ãããããããããç°å¸¸ãçºçããªãã®ãæ®éã ããã
è¨èªå¦çãªçãããããã«ã¡ã¯ãCROã®å¯å³¶ã§ãã 1æ25æ¥ãæ¥çµæ°èããã«æ²è¼ããã¦ãããAIã§èªåçã«æ±ºç®ããè¨äºãä½æãããã¨ããã®ããèªç¶è¨èªå¦çã®åå¼·ã«ãªãã¨ãããã¨ã§ã6æéï¼ç´åæ¥ï¼ã§ã©ãã¾ã§è¡ããããå®è¡ãã¦ã¿ã¾ããã ã¾ããå人çã«ãçµå¶ã®ææ決å®ãã«å¿ è¦ãªæ å ±ã¨ãã¦ãå¶æ¥å©çãçµå¸¸å©çã売ä¸é«ã®æ¨å¯¾å®æ°ããåéãããã£ãã®ã§ãããããã¦ã â ã¾ããç¶æ³ç¢ºèª âæ¥çµããã®çµæ ï¼https://www.nikkei.com/article/DGXLRST0477726Q7A120C1000000/ï¼ âå ãã¡ã¤ã«ï¼æ±ºç®å ¬åã®PDF) â»https://www.hioki.co.jp/jp/ir/topics/ãããæå æããã¦çµæã¯ï¼ï¼ï¼ï¼ â ãã£ã¨æ±ºç®çä¿¡ãä½ç¤¾ãçºããæã以ä¸ã®ãããªãã¿ã³ãæµ®ãã³ä¸ãã£ãã ï¼ï¼æ±ºç®æ¸ã¯ãããç¨åº¦æ§é åï¼å ±åå 容ãããç¨åº¦æ±ºã¾ã£ã¦ã
ãã®ã³ã¼ã¹ã¯ãPythonã使ã£ã¦ãã¼ã¿ã解æãå¯è¦åããããã«å¿ è¦ãªã¹ãã«ãç¶²ç¾ ãã¦ãã¾ããPythonã¨ç§å¦è¨ç®ã®ããã®ã©ã¤ãã©ãªã®ä½¿ãæ¹ãå®ç§ã«ç解ã§ããããã«ãªã£ã¦ãã¾ãã ãã®ã³ã¼ã¹ãç¿å¾ããã°ã次ã®ãããªäºãã§ããããã«ãªãã¾ãã - Pythonããã°ã©ãã³ã°ã¸ã®ç¥èãæ·±ã¾ãã¾ãã - NumPyã使ã£ã¦ãã¢ã¬ã¤ã使ã£ãæ°å¤è¨ç®ãã§ããããã«ãªãã¾ãã - pandasã使ã£ãå¹æçãªãã¼ã¿è§£æãã§ããããã«ãªãã¾ãã - Matplotlibã¨seabornã使ã£ã¦ãåºçã«ã使ããã»ã©ç¶ºéºãªãã¼ã¿ã®å¯è¦åãå¯è½ã«ãªãã¾ãã - Pythonã使ã£ã¦å®éã«ãã¼ã¿ã解æããæ¹æ³è«ã身ã«ã¤ãã¾ãã - æ©æ¢°å¦ç¿ã¸ã®ç解ãç¸å½é«ã¾ãã¾ãã 2023å¹´5æã«ã³ã¼ã¹ã®å¤§å¹ æ¹è¨ãè¡ãã¾ãããã»ã¨ãã©ãã¹ã¦ã®åç»ã¨è³æãæ´æ°ããã¦ãã¾ãã 17æé以ä¸ã100æ¬ãè¶ ãããããªã¨ãããã«ä½¿ã
ç±³Appleã®ãSiriããç±³Amazon.comã®ãAlexaããç±³Googleã®ãGoogleã¢ã·ã¹ã¿ã³ãããªã©ã®é³å£°å¯¾å¿AIã¢ã·ã¹ã¿ã³ãã¯ã人éã®è³ã«ã¯èãããªãè¶ é³æ³¢ã使ã£ã¦æä½ã§ããââãä¸å½æµæ±å¤§å¦ã®ç 究è ãã8æ31æ¥ããã®ãããªç 究çµæãçºè¡¨ããã å®é¨ã§ã¯ã人éã®å£°ã«ããé³å£°å½ä»¤ãè¶ é³æ³¢ã«å¤æãããããåçãããDolphinAttackãã¨å¼ã¶æè¡ã使ã£ããå¤æããè¶ é³æ³¢ã¯äººéã®è³ã«ã¯èãããªãããSiriãGoogleã¢ã·ã¹ã¿ã³ãï¼è«æä¸ã§ã¯ãGoogle Nowãã¨ãªã£ã¦ããï¼ãAlexaã¯ããããåå¿ãã¦å½ä»¤ã«å¾ã£ãã¨ãããiPadãAudi Q3ãªã©ã16種é¡ã®ãã¼ãã¦ã§ã¢ã7種é¡ã®ã·ã¹ãã ã§æä½ã«æåããã ç 究è ãæ稿ããä¸ã®YouTubeåç»ã§ã¯ãSiriã«è¶ é³æ³¢ã§é»è©±ãæããããå½ä»¤ããæåããã®ãåããã ä¾ãã°ãã®è£ ç½®ããã±ããã«å¿ã°ãã¦æä½ãããã¦
and then write a function that trains on a batch of colors. Note that we wrap the call for the session to train within a math.scope callback. Using math.scope is obligatory here (and in other parts of the code) because it allows deeplearn.js to reap resources (such as data on the GPU) once they are no longer needed. Also note that the train1Batch method accepts a shouldFetchCost parameter. This al
(ãã®æ å ±ã¯ã2016å¹´8æ22æ¥ç¾å¨ã®ãã®ã«ãªãã¾ããä»å¾ãåAPIã®æ¥æ¬èªå¯¾å¿ç¶æ³ã«åããã¦ãæ´æ°ãããã¨ãããã¾ãã) æ¥æ¬èªçã®å ¬éã§ãã¾ãã¾ãæ´»ç¨ããããWatsonãBluemixã§ç°¡åã«ããã«ä½¿ããWatson APIã«ã¤ãã¦ã¾ã¨ãã¦ã¿ã¾ãããã¾ãã¯ãBluemixã®30æ¥éããªã¼ãã©ã¤ã¢ã«ã§ããã²Watson APIãã試ããã ããã >IBM Bluemix 30æ¥éããªã¼ãã©ã¤ã¢ã«ã«ã¤ã㦠AlchemyAPI æä¾å ï¼IBM æ¥æ¬èªå¯¾å¿ï¼Ã æ¦è¦ï¼AlchemyLanguageã¨AlchemyData ã®2ã¤ã®APIã使ç¨ãããã¨ãã§ãã¾ãã ãã¨ãã°ãAlchemyLanguageã§ã¯ãæç« ã®å±æ§ãåæããã«ãã´ãªåããããã¨ã«ä½¿ãã¾ããAlchemyDataã§ã¯ãä¸çä¸ã®ãã¥ã¼ã¹ã»ã½ã¼ã¹ã¨ããã°ãããã¼ã¿ãã¼ã¹ã®ããã«æ¤ç´¢ãå¾ååæãããã¨ãã§ãã¾ãã ç¡ææ ï¼B
ææ°ãªç¥è½ã®å®ç¾© The definition of bright intelligence 2017.03.31 Updated by Ryo Shimizu on March 31, 2017, 09:39 am JST AIã¨ä¸å£ã«è¨ã£ã¦ãã大ããåãã¦æ·±å±¤å¦ç¿ä»¥åã¨ä»¥å¾ã«åãããã¾ãã 深層å¦ç¿ä»¥åã®AIã¯ãã¯ã£ããè¨ã£ã¦åæ»ãã¦ãã¾ããã åæ»ãã¤ã¤ããææ¸ãæåèªèãé³å£°èªèã¨ãã£ãåéã§çã ã¨å®ç¸¾ãç©ã¿ä¸ããããã¦ãã®ã©ããã«ãè¶ããããªãå£ãã®ãããªãã®ãæãã¦ã¾ãåæ»ãããã¨ãããã¨ãç¹°ãè¿ãã¦ãã¾ããã æ¨ä»æ³¨ç®ããã¦ããAIã¯æ·±å±¤å¦ç¿ã§ãå®ã¯æ·±å±¤å¦ç¿å±ããã¨ããã以åã®æ©æ¢°å¦ç¿ã¾ãã¯èªç¶è¨èªå¦çå±ããã¯ä»²ãè¯ããªãã®ã§ãã 深層å¦ç¿ä»¥åã®ä¸çã§ã¯ãAIã®ç 究ã¨ããã¨ããæ å ±ãã©ãæ±ããããæ å ±ã®ã©ã®é¨åã«çç®ããããã¨ãããã¨ãå°éçãªè¨èã§ããã°ãæ å ±ã®ç¹å¾´éããã©
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}