The Evolution of Fine-Tuning: From Retraining Everything to Rewarding Correctness
Last month I had a model, a dataset, and a GPU already warm. The old reflex said fine-tune. I didn’t. I sat there and asked whether…Continue reading on Towards AI »
4 stories
Last month I had a model, a dataset, and a GPU already warm. The old reflex said fine-tune. I didn’t. I sat there and asked whether…Continue reading on Towards AI »
Fine-tuning LLM agents needs more than just text. Synthetic data helps you build robust, multi-turn interaction datasets without the cost or risk of real user data.
Fine-tuning LLMs in 2026 costs $3-$30 in GPU time for open-weight models, or a 50% inference premium on GPT-4.1. Break-even math across three real scenarios.
What is RAFT? RAG + Fine-Tuning In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance …
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