A generic fine-tuning playbook, written after doing it wrong several times
This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.
Every fine-tuning guide I read before my first serious attempt was a tutorial about knobs: learning rates, LoRA ranks, quantization settings. None of them covered the part that actually decides whether the project succeeds, which happens before and after the training run, not during it. This is the…
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- 2026-08-24 23:29 · DEV Community — Machine Learning
A generic fine-tuning playbook, written after doing it wrong several times