RAG Retrieves. Fine-Tuning Forgets. HyperNetworks Inject — and Now We Have the Scaling Laws.
中文摘要
新扩展定律比较RAG、微调和超网络，解决LLM可靠使用专有数据问题。RAG检索、微调遗忘、超网络注入。
English Summary
New scaling laws compare RAG, fine-tuning, and HyperNetworks for enabling LLMs to reliably use proprietary data. RAG retrieves, fine-tuning forgets, and HyperNetworks inject knowledge.
原文节选
There are two mainstream answers to “how do I get my LLM to reliably use proprietary data?” RAG retrieves relevant chunks at inference… Continue reading on Medium »