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Machine Learning Mastery··论文与技术

Implementing Prompt Compression to Reduce Agentic Loop Costs

中文摘要

提示压缩降低代理循环成本,减少LLM和API调用的token使用量。

English Summary

Prompt compression cuts agentic loop costs by reducing LLM and API token usage.

原文节选

Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to token usage.