Track
Prompting & Context
Goal: Write prompts that work, then manage what actually fills the context window.
Prereqs: LLMs.
Status: done
Work through the steps in order. Bold links open YouTube.
| Step | Concept | YouTube | Read |
|---|---|---|---|
| 1 | Prompt structure basics | Anthropic — Prompt engineering overview | |
| 2 | Practice the techniques hands-on | Anthropic — Prompt Engineering Interactive Tutorial | |
| 3 | Chain-of-thought reasoning | Wei et al. 2022 — Chain-of-Thought Prompting Elicits Reasoning in Large Language Models | |
| 4 | Prompting and tool use in practice | Andrej Karpathy — How I use LLMs | |
| 5 | Context engineering: beyond the prompt | Anthropic — Effective context engineering for AI agents | |
| 6 | Where long context actually breaks | gkamradt — LLMTest_NeedleInAHaystack |
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