🔧 Should You Use RAG or Fine-Tune Your LLM?
Nachrichtenbereich: 🔧 Programmierung
🔗 Quelle: dev.to
The debate over retrieval augmented generation (RAG) vs. fine-tuning appears simple at first glance. RAG pulls in external data at inference time. Fine-tuning modifies model weights during training.... [Weiterlesen]