🌱 AI Engineering · Your First AI App · cozy lesson
Understanding LLM Parameters
9 min · 1 min read · no scary math, promise
🤖
You’ve got this. Read a little, play a little — I’ll wait. No rush.
Knobs
- temperature: randomness. 0.2 for support/RAG, 0.8 for brainstorm.
- top_p: nucleus sampling. 0.9 typical, lower = safer.
- max_tokens: cap answer, controls cost.
- stop: halt strings for structured parsing.
Taste test same prompt at 0.2 vs 1.0. Ship RAG at low temp with citations.
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Check your understanding
Correct answers earn XP (once each).
1. Low temperature (0-0.3) =
2. max_tokens controls…
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