Guardrails, Guidance and Outlines: How to control LLM Behavior Without Retraining
中文摘要
无需重新训练或微调，本文探讨如何通过护栏、引导和轮廓技术来控制大语言模型行为，从而解决生产环境中的问题。
English Summary
Instead of fine-tuning LLMs to fix production errors, use guardrails, guidance, and outlines to control model behavior more effectively and efficiently.
Original Excerpt
When an LLM breaks in production, the first instinct for many teams is to fine-tune it. If the model keeps missing fields in a JSON… Continue reading on Medium »