Fine-tuning with RAG for Improving LLM Learning of New Skills

Humaid Ibrahim, Nikolai Rozanov, Marek Rei

Large language model (LLM) agents deployed for multi-step tasks frequently fail in predictable ways: attempting actions with unmet preconditions, issuing redundant commands, or mis…