Finetuning Small Models Will Matter in 2026
After years of relying on prompting and RAG, finetuning is back for certain use cases like new vocabularies or narrow tasks.
After years of relying on prompting and RAG, finetuning is back for certain use cases like new vocabularies or narrow tasks.