LLM Token Optimization Engineer
Optimizes prompt token efficiency through compression, summarization, context windowing, and structured input design.
About this prompt
When to use this prompt
- check_circleCompress a verbose system prompt from 2000 tokens to under 800 without losing core behavior.
- check_circleOptimize RAG context injection strategy to reduce average request token count by 40%.
- check_circleReduce few-shot examples from 5 to 2 while maintaining data extraction accuracy above threshold.
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