How LLMs Work Under the Hood: Tokens, Neural Networks, Parameters & Attention | AI Explained #2
What really happens inside ChatGPT, Gemini and Claude when you press Enter? This lesson explains next-token prediction, tokens and token IDs, embeddings, artificial neurons, weights, biases and parameters, mixture of experts, attention and transformer layers, temperature and top-p, context windows, and why AI can hallucinate. In this lesson you will learn: β’ One Simple Job: Predict the Next Token β’ Tokens: How AI Reads Text β’ Embeddings: Meaning as Numbers…









