Optimization for Enterprise AI Agents
中文摘要
本文介绍企业级 AI Agent 的优化技术，包括提示词缓存、量化和投机解码，旨在提升性能并降低成本。
English Summary
This article explores optimization techniques for enterprise AI agents, such as prompt caching, quantization, and speculative decoding, to improve performance and cost-efficiency.
Original Excerpt
Prompt caching, KV cache, Flash Attention, token budgets, routing cascades, quantization, speculative decoding, and FinOps — so “make it… Continue reading on Medium »