LLM (Part 1) : Transformer architecture Explained скачать в хорошем качестве

LLM (Part 1) : Transformer architecture Explained

Ever wonder how an AI comes up with its answers? 🤔 When you ask it something, how does it break down your question and figure out what to say? In this video, I walk you through the whole process in a way that’s clear and straightforward. We start with how your question gets split into smaller pieces, called tokens, and turned into IDs that the AI can work with as it gets ready for the next steps. This is just the first part of a full series diving into the Transformer Architecture! 🚀 In the next video, we’ll dig into the Hidden Layer, explore Weights, Biases, the Attention Mechanism, Encoder-Decoder blocks, and a whole lot more. 👉 In this video, you’ll learn: What is a Neural Network? The role of the Input Layer How Tokenization works Assigning Token IDs Why AI doesn’t actually “think” but “predicts” 📺 Watch Part 2 here: (I will Add the link to the next video) 👍 If you found this helpful, don’t forget to Like | Comment | Subscribe for more tech explained simply! #AI #NeuralNetwork #Transformer #TechSimplified #InputLayer