ç®èè¨å·ï¼ã²ã«ãããããè±èª: irony punctuationï¼ã¨ã¯ãæç« ä¸ã§ç®èï¼ironyï¼ãå«å³ï¼sarcasmï¼ã®æå³åãã表ç¾ããããã«ä½¿ç¨ãããã¨ãææ¡ãããå種ã®ç´ç©ã§ãããæ¬é ç®ã§ã¯ãç´ç©ä»¥å¤ã®è¡¨ç¾æ³ãå«ãããæç« ä¸ã§ç®èã®æå³åãã表ç¾ããåç¨®ã®æ¹æ³ã«ã¤ãã¦ã説æããã ç®èã表ãæç« ã«ã¯ãçå符(?)ãæå符(!)ã®ãããªãç®è表ç¾ã§ãããã¨ãç¤ºãæ¨æºçãªæ¹æ³ããªããããã¤ãã®å½¢å¼ãææ¡ããã¦ããããããã®ä¸ã§ãæãå¤ããæããã使ãããã®ã¯ã1580年代ã«ã¤ã®ãªã¹ã®å°å·è·äººãã³ãªã¼ã»ãã³ãã ï¼è±èªçï¼ã«ãã£ã¦ææ¡ããããã¼ã³ã³ãã¼ã·ã§ã³ã»ãã¤ã³ãï¼percontation pointï¼ã¨ã19ä¸ç´ã«ãã«ã®ã¼ã®æ°èåºçè ãã«ã»ãªã³ã»ã¸ã§ãã¼ã«ï¼è±èªçï¼ã¨ãã©ã³ã¹ã®è©©äººã¢ã«ã«ã³ã¿ã»ãã»ãã©ã¼ã ï¼ãã«ãã¬ã«èªçï¼ã«ãã£ã¦ä½¿ç¨ãããã¢ã¤ããã¼ã»ãã¼ã¯ï¼irony mark
ã¿ãã®@ããè¨èªå¦ã©ã¸ãª @yuru_mizuno ä»å¹´ã®æ°æ¸å¤§è³ã決ã¾ã£ããã ãè¨èªã®æ¬è³ªããèªã¿çµãã£ãããããã¤ããããä»å¹´èªãã æ¬ã§å§åçãã³ãã¼ã¯ã³ã 飲é£åºã§æ°è»½ãªæ°æã¡ã§èªãã§ãããããããããã¦åæ¸ãæ©ããªã£ã¦ãããã©ãã¦èªãã®ããããæ¬ã¯å¤å人çåã§ãã ä»ãããã®æ¬ãèªãã人ããããã¾ããã pic.twitter.com/oAtCgwmRlp 2023-05-26 22:05:45 ã¿ãã®@ããè¨èªå¦ã©ã¸ãª @yuru_mizuno ã¤ããã¤ã³ãâ åºã¦ããä¾ãä½ããããã³ãã·ã£ã§æ°æã¡ãã ä»äºãã¤ã¿å çã¨ç§ç°åç¾å çã®å ±èãªã®ã§ããããã¡ã¨ãçç·´ã®ä»äºå çãã¡ã³ãªã®ã§ä»äºå çãã©ããæ¸ãããã¯ãããã¾ãã ã¹ã´ãã®ã¯ãè«ã®è£å¼·ãå¿ è¦ãªç®æã§ç§ç°å çãã²ãã£ããåºã¦ãã¦ãã¡ããã¡ãããäºä¾ãåºãã¦ãããç¹ã 2023-05-26 22:05:46
ãè¨èªã¨ã¯ã¸ã§ã¹ãã£ã¼ã²ã¼ã ã®ãããªãã®ã ãã¨ããç»æçãªè¦æ¹ãæç¤ºãã¦è©±é¡ã«ãªã£ã¦ãããè¨èªã¯ãããã¦çã¾ããããå³èããè³ãã¨ã¸ã§ã¹ãã£ã¼ã²ã¼ã ãã忏ã«åºæ¿ãåããã©ã¤ã ã¹ã¿ã¼ã®å®å¤ä¸¸ããããæ¥æ¬èªã©ããã®å é§ãã§ãããã¨ãããããããã¨å¯¾è«ãã³ãã¥ãã±ã¼ã·ã§ã³è«ããæ¥æ¬èªã®æ´å²ãããªã¼ã¹ã¿ã¤ã«ã©ããã¨è¨èªã®å¤åãªã©ã縦横ã«èªãåã£ãã ä¼è©±ã®ä¸»å°æ¨©ã¯ãèãå´ãã«ï¼ å®å¤ä¸¸ããã®æ¬ãèªãã æããã¨ãããã¨è©±ãããã¨æã£ããã§ãã ãã¨ãããããè¨èªã¨ããã¨ãããè¨èã®ãAãã¨ããã¤ã¡ã¼ã¸ããã®ã¾ã¾éãã§ãç¸æããããåãåãã¨ããé¢¨ã«æã£ã¦ãã¾ããã§ããå®éã®ã³ãã¥ãã±ã¼ã·ã§ã³ã¯ãããªãã¨ã¯ãªãã¦ãå®ã¯çæ³¢æ¾éã¿ããã«ãããéå¤ãªãã¤ãºã ããã®é³ã®ä¸ããæ£ããæè©ãè¦åºãã¿ãããªä½æ¥ããã¦ããããã ããã å®å¤ä¸¸ãããã§ããããããããã§ããªãã¨ã工夫ããªãããã¸ã§ã¹ãã£ã¼ã²ã¼ã ã®ã
ãã¨ãã°ãªããè§£ã: ãã¼ãã¿ã¹ãã¼ã³ã«æãã è±ä»ãµããã®å¤©æã¨ç©¶æ¥µã®è§£èªã¬ã¼ã¹ ä½è :ã¨ãã¯ã¼ãã»ãã«ããã¯æ±äº¬åµå 社Amazonãã®ããã¨ãã°ãªããè§£ã: ãã¼ãã¿ã¹ãã¼ã³ã«æãã è±ä»ãµããã®å¤©æã¨ç©¶æ¥µã®è§£èªã¬ã¼ã¹ãã¯ãå¤ä»£ã¨ã¸ããã®è±¡å½¢æåã§ãããã¨ãã°ãªãè§£èªã®éç¨ã追ã£ããã³ãã£ã¯ã·ã§ã³ã ãç¡è«è§£èªã«ããã£ã¦ã¯ä½äººãã®äººéãé¢ãã£ã¦ããããã ããæ¬æ¸ã§ã¯ã·ã£ã³ããªãªã³ã¨ã¤ã³ã°ã¨ããäºäººã®ä¸»äººå ¬ãä¸å¿ã«è©±ãå±éãã¦ããã ãã¨ãã°ãªãããã¼ãã¿ã¹ãã¼ã³ï¼1799å¹´ã«çºè¦ãããããã¨ãã°ãªããå»ã¾ããç³æ±ï¼ãåå¨èªä½ã¯ç¥ã£ã¦ããããããã¾ã§èå³ãæã¤å¯¾è±¡ã§ã¯ãªãã£ãããã®ãããæ¬æ¸ãããã¼ããããããï¼ãã¨ããããªåã®ãããªæ°æã¡ã§èªã¿å§ããããã§ã¯ãªãã£ãã®ã ããåé ããé常ã«ããããããæå¾ã¾ã§ä¸æ°ã«èªã¿åã£ã¦ãã¾ã£ãã ãã¨ãã°ãªãã¯å ã«æ¸ããããã«å¤ä»£ã¨ã¸ããã®æå(ðð ±
ð«ð·Bebechan - æ¥æ¬ã®ãã©ã³ã¹äººð¯ðµ @bebechan_france ããã£ã¦ããããªãããã§ãã...ã åã¯ä»èªãè±èªãæ¥æ¬èªã話ãã¾ãããæ¥æ¬èªã話ãã¦ããæã«å¥äººæ ¼ã«ãªãæ°ããããã§ããæ¥æ¬èªã話ãã¨å£èª¿ãè©±ãæ¹ãè½ã¡çããå 容ã丸ããªãæ°ããã¾ãã æµæ¢åº¦ã§ã¯ãªããæ ¹æ¬çãªäººæ ¼ãå¤ãã£ã¦ãããããªæè¦ã å¤å½èªåå¼·è ã§åã人ãã¾ãããï¼ð 2022-11-16 21:08:02 ð«ð·Bebechan - æ¥æ¬ã®ãã©ã³ã¹äººð¯ðµ @bebechan_france æ±äº¬å¨ä½ãã©ã³ã¹äººYouTuberð«ð·æ¥æ¬ã«æãã¦20年以ä¸ð¯ðµä¾ã³å¯ã³ã大好ãðð»æ¥æ¬ã¨ãã©ã³ã¹ã®æ¶ãæ©ðååã/ãä»äºâ¡ï¸thebebechan@gmail.com âï¸Youtube(62ä¸äºº)â¡ bit.ly/bebechan_france amazon.co.jp/dp/
TAKETAKA @T2_taketakaC æè¿ç¥ã£ãã®ã§ãããå¹³å°éã彿ã®çºé³ã«ããããã¿ã´ã£ã©ãã»ãã·ã£ã¬ã³ãã ãæ±é¨ãã³ãã¦å°æ¹ã®åé¢ç¬ç«ãæ±ãã¦ããåæ¿åºæ¦è£ å¢åããã·ã£ã¬ã³ã人æ°è§£æ¾æ¦ç·ãã®ã¿ã´ã£ã©ãå¸ä»¤å®ã¯â¦ãã¨ç¾ä»£é¢¨ã«æ¸ãã¦ãéåæãªãèªæã pic.twitter.com/gs5dOEmJby
æµ·å¤æ è¡ã¨ãã¯ããã¯ããã¨ãã¼ã«ã好ãããªã§è©ãéããã®ã§ããµã©ãªã¼ãã³ã®ããã«å´é é¨ã¨è©ã§å話å¨ããã¼ã«ããããã¤ãã§ããªãã åã®è¨äºï¼åã大人ã®ããã®ã¢ããã³ãã«ã¬ã³ãã¼ãã¤ãã ï¼ å人ãµã¤ã ã¤ããã¨ãã¦ãã æ¬å½ã¯ã¢ã©ãã¢æåã¨ä»²ãããªãããã ããªãã ã¢ã©ãã¢æåã®ä½¿ç¨è ã¯ãå ¨ä¸çã§5å人以ä¸ãå½é£å ¬ç¨èªã®ä¸ã¤ã§ããã¢ã©ãã¢èªãã¤ã©ã³ã®ãã«ã·ã£èªãããã¹ã¿ã³ã®ã¦ã«ãã¥ã¼èªãªã©å¤è¨èªã§ä½¿ç¨ãããå°ççã«ãã¢ããªã«åé¨ããã¦ã¼ã©ã·ã¢ã æ±åã¢ã¸ã¢ã¾ã§ãåºãã«ãã¼ããã¨ããå½éæ§ãããã¯ããã¤ã³ã¯ã«ã¼ã·ãã§ãã¤ãã¼ã·ãã¡ã¤ããªç¤¾ä¼ãç®æãæå¡ã¨ãã¦ããããç¥ããªããã§ã¯æ¸ã¾ãããªãã ããã ãªãã¦å¤§ä¸æ®µããã«ããã¦ã¿ããã®ã®ãåºæ¬çã«ã¦ã½ã§ããæ¬å½ã®ã¨ãããã¿ããªãèªããªãã¢ã©ãã¢æåãèªããããªããã«ãã³ãããããªããã¨ããããªå¿ã®ä½ãçç±ã§ãã®ãã³ãç¥èã¼ãããã¢ã©ãã¢æåã«ã¤
OpenAIãéçºãããGPT-3ãã¯ãã»ã¨ãã©éåæã®ãªãããã°è¨äºãçæã§ãã¦ãã¾ãã»ã©é«ã精度ãèªãè¨èªã¢ãã«ã§ãããã®GPT-3ãããã¹ããçæããä»çµã¿ã«ã¤ãã¦ããªã³ã©ã¤ã³å¦ç¿ãã©ãããã©ã¼ã ãUdacityãã§AIãæ©æ¢°å¦ç¿é¢é£ã®è¬åº§ãæã¤Jay Alammaræ°ã解説ãã¦ãã¾ãã How GPT3 Works - Visualizations and Animations â Jay Alammar â Visualizing machine learning one concept at a time. https://jalammar.github.io/how-gpt3-works-visualizations-animations/ The Illustrated GPT-2 (Visualizing Transformer Language Models) â Ja
ãã®è¨äºã¯ä¸ç«çãªè¦³ç¹ã«åºã¥ãçåãæåºããã¦ããããè°è«ä¸ã§ãã ãã®ãããä¸ç«çã§ãªãåã£ã観ç¹ããè¨äºãæ§æããã¦ãããããããããå ´åã«ãã£ã¦ã¯è¨äºã®ä¿®æ£ãå¿ è¦ã§ããè°è«ã¯ãã¼ããåç §ãã¦ãã ããã (2021å¹´1æ) é«ã»ä½æèæåï¼ããã¦ã ã¶ãã¿ãã ã¶ããï¼ã¨ã¯ã髿èæåï¼è±: high-context culturesï¼ã¨ä½æèæåï¼è±: low-context culturesï¼ãã¾ã¨ãã¦å¼ã¶éã®ç¨èªãããã¤ã³ã³ãã¯ã¹ãæåãããã³ããã¼ã³ã³ãã¯ã¹ãæåãããé«ã³ã³ãã¯ã¹ãæåãããã³ãä½ã³ã³ãã¯ã¹ãæåããªã©ã¨å¼ã¶ãã¨ãããã ãªãããé«ããä½ãã¨ããç¨èªãç¨ãããã¦ããããã©ã¡ãã䏿¹ã仿¹ããåªãã¦ãããå£ã£ã¦ããã¨ãããã¨ã表ããã®ã§ã¯ãªããåè¨èªéããã®è¨èªãç¨ããæ°æéã«ä½ããã®åºåãä¸ãããã®ã§ããªã[1]ãã³ã³ãã¯ã¹ãï¼æèï¼ã¨ã¯ãè¨èªå¤ã®æ å ±ãã®ãã¨
ãªã³ã¯ ã¨ãªãã®ã¤ã³ã°ã¸ã£ã³ã [第1話] ã¢ã«ã - ä¸é½æ å¸ | ã¨ãªãã®ã¤ã³ã°ã¸ã£ã³ã ãããä¸çã¯åãã ããªã®ãããããªããèå»ããä¸çã§çãããã®ã®å½±ãµãã¤ã èªåãã¡ä»¥å¤ã®äººé¡ãæ¢ããè¦ã¤ããããã®æ©ã¿ã®å ã«ã¯â¦ï¼ï¼ ãã®ä¸çã«æ®ãéãæ¢ãæ±ãã人é¡ã®è¿æªæ¥å¹»æ³è
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}}