Large Language Models
Prompt Compression
Large Language Models· Advanced
Definition
Techniques that reduce the token count of prompts while preserving semantic content — using summarization, selective retrieval, or learned compression methods. Critical for managing context window limits and reducing inference costs in production deployments.
Enterprise Context
At enterprise scale, prompt compression can reduce inference costs by 30-70% while maintaining output quality. Essential for cost-efficient RAG and long-document processing.
Tags
#efficiency#cost#context
MS
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