Caveman mode once again! This time for Mother of All AI papers: Attention is All you need 🙌 In the Reel, I explained it in the simplest way: Transformer = architecture behind modern LLMs Attention = heart of the Transformer Query = what this word is looking for Key = what each word represents Value = information each word passes forward Multi-head attention = many ways to look at context Positional encoding = word order information Now the slightly more technical version: Modern LLMs like ChatG

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