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He wasn’t ready!!!😮 This Giant Python put the squeeze on him😳 Not only are these big Pythons heavy but they are also very strong💪 The more you fight them the harder they are going to squeeze because thats how they make sure they don’t fall off anything👀 The bottom layer is all muscle and they are using it all day to move around so it is very strong😅 They are a lot stronger then they look for being just one big noodle😂
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COME VIENE COSTRUITA DAVVERO UN’AI COME CHATGPT Da fuori sembra quasi magia: scrivi una domanda e, qualche secondo dopo, miliardi di numeri dentro un computer producono una risposta sensata. Ma dietro ChatGPT, Claude e gli altri grandi modelli linguistici c’è una pipeline molto più interessante di quanto sembri. Ho trovato un video di Rick the Engineer che la racconta particolarmente bene e ho deciso di ripercorrerla a modo mio, cercando di renderla il più intuitiva possibile. Si parte da enormi
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Nobody ever wrote the code that lets ChatGPT write Python. Not one line of it. 🤯 Here's how a large language model actually gets built, step by step: 1️⃣ Data. Trillions of words of books, web pages, code and forums, then cleaned: duplicates removed, spam filtered, broken text stripped. One open dataset, FineWeb, is 15 trillion tokens of web text. 2️⃣ Tokens. The model never sees words.
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