Lesson 1464 of 1596
Using Prompt Caching to Cut Cost and Latency
Reuse the static prefix of long prompts across calls.
Creators · Tools Literacy · ~7 min read
The premise
Long system prompts and few-shot examples are paid for again on every call unless you use prompt caching to reuse the prefix.
What AI does well here
- Cache static prefix tokens across calls within a TTL.
- Lower per-call latency on cached prefixes.
What AI cannot do
- Cache content that changes per call.
- Extend cache TTL beyond what the provider allows.
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain prompt-cache in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Using Prompt Caching to Cut Cost and Latency" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check prefix against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
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