What Happens Inside ChatGPT? | An Overview of LLM Architectures скачать в хорошем качестве

What Happens Inside ChatGPT? | An Overview of LLM Architectures

When someone asks how ChatGPT works, most explanations jump straight to jargon or surface level results. Your question actually goes through a pipeline, raw text gets broken into model-friendly pieces, converted into embeddings that encode meaning and position, processed through multiple transformer blocks that weave in context and relationships across the sentence, then decoded into probability distributions over a huge vocabulary space to predict the next word repeatedly until a response forms. This video is meant to finally make that middle machine layer visible and understandable. Keywords: LLM architecture, transformers explained, token embeddings, positional embeddings, attention mechanism, autoregressive models, next word prediction, NLP embeddings, large language model inference, neural networks for text #ai #llm #technology Chapters: ======= 00:00 An Introductory Example 00:30 High-level View of LLMs 00:55 Overview of LLM Architecture 01:27 Input Representation Stage 02:10 Processing Stage 04:23 Output Stage 06:50 Summary of Overarching Architecture 07:02 Summary of Video and Next Steps 07:24 Thank You Socials: ====== YouTube:    / @tensorsandtea   Patreon:   / tensorsandtea   Instagram:   / tensorsandtea   Tik Tok:   / tensorsandtea