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Qué es la atención en un LLM: la analogía de la biblioteca Query es lo que buscás, Key es el lomo del libro, Value es el contenido. Así funciona la atención sin fórmulas. #IA #LLM #shorts
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Qué es la atención en un LLM: la analogía de la biblioteca Query es lo que buscás, Key es el lomo del libro, Value es el contenido. Así funciona la atención sin fórmulas. #IA #LLM #shorts
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TikToktheeupdateroom
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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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LLM just made running 70 billion parameter AI models possible without supercomputers by loading layers from your hard drive. Its flash attention keeps memory low, letting complex models like LLAMA 3.3 70B run smoothly on MacBooks and gaming PCs. A game-changer for students and indie devs exploring AI. #llm #llama33b #aiinnovation #opensourceai #machinelearning
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