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Phase 11 · Large Language Models

Topics

LLM Architecture Overview

Part of the AI Engineer Roadmap.

Summary

Most modern LLMs are decoder-only Transformers trained to predict the next token — understanding this end-to-end demystifies what's actually happening behind ChatGPT/Claude-style products.

How to Learn This

  • 1Read a high-level explainer of how a decoder-only Transformer generates text token by token.
  • 2Trace the path from input prompt to output tokens conceptually.
  • 3Connect this back to the Transformer architecture you studied in Phase 8.

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Object Detection Demo

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Tokenization (BPE, SentencePiece)

More topics in Large Language Models

Tokenization (BPE, SentencePiece)Pretraining vs Fine-tuningContext Window & AttentionPopular LLMs (GPT, Claude, Gemini, Llama)Open-Source vs Closed-Source ModelsModel Scaling Laws (Overview)Emergent Abilities (Overview)Multimodal Models (Overview)
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