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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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Abonne-toi pour plus de vidéos IA 🚀 Voici 4 astuces ChatGPT à tester au quotidien 🤖 Style, déco, recettes, cadeaux… ces commandes permettent d’utiliser ChatGPT autrement 👀 Enregistre la vidéo pour les tester plus tard. 10 codes supplémentaires : 1. /TravelPlanner — analyse tes envies et contraintes pour créer un itinéraire de voyage personnalisé. 2. /MealPlanner — crée un planning de repas adapté à tes goûts et à ce que tu as chez toi. 3. /WardrobePlanner — analyse tes vêtements et propose de
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GPT-6 Astra is now available to all Pro, Enterprise, and Business Premium users in ChatGPT and Codex. It's also live in the API. It might take a few days to roll out to our Plus and Business users, but we are working hard to get it out as soon as possible. Thank you for your patience.
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I learned the expensive way that a monthly ChatGPT subscription and API usage are separate buckets. While experimenting with OpenClaw, I burned through my subscription allowance and then close to $40 in additional API tokens just getting the system set up. That token bleed is exactly why local models and running AI on your own machine can become appealing. local AI costs, OpenClaw API token usage, ChatGPT subscription versus API, self hosted AI
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