Artificial Intelligence
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Working with LLMs

4 chapters · 32 min total

How to get reliable, controllable output from a language model — writing effective prompts, tuning the sampling parameters that shape responses, engineering the full context window, and understanding how models remember and forget across a conversation.

  1. 01 Prompt Engineering — How to Get Reliable Output from Any LLM 10 min read
  2. 02 Temperature and Top-p — Controlling LLM Output 7 min read
  3. 03 Context Engineering — Beyond Prompts to Production 8 min read
  4. 04 AI Memory — How LLMs Remember and Why They Forget 7 min read
Start Series — Chapter 1 →