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AI & LLM Engineering

Building, evaluating, and shipping with large language models.

7 posts · AI & LLMs

  1. 1

    Foundations — How LLMs Work & Why These Skills Endure

    Foundations — How LLMs Work and Why These Skills Endure Welcome to Durable AI/LLM Engineering . This first chapter assumes you know almost nothing about…
  2. 2

    Evaluation & Measurement

    Proving an AI System Actually Works Imagine you change one sentence in the instructions you give an AI chatbot. Did the chatbot get better, or worse?
  3. 3

    Context Engineering & Retrieval

    Getting the Right Information to the Model A large language model (LLM) is, at its core, a next-word predictor.
  4. 4

    Agent Architecture & Orchestration

    Multi-Step, Tool-Using Systems So far you have probably thought of a language model as a thing you send text to and get text back from.
  5. 5

    AI Product Judgment

    When (and When Not) to Use AI Most failed AI products do not fail because the model was weak. They fail because someone started with the wrong question.
  6. 6

    Frequently Asked Questions

    Q: What is the difference between RAG and fine-tuning, and when should I use each? RAG (Retrieval-Augmented Generation) fetches relevant documents at query…
  7. 7

    Revision Cheat Sheet

    7 · Revision Cheat Sheet — The Whole Guide on Two Pages This is the 10-minute review. Each pillar distilled to its load-bearing ideas; the decision table tells…