@h100envy: Ex-JPMorgan engineer who wrote the LLM Course explained everything about fine-tuning and merging in 18 minutes - better…
Summary
An ex-JPMorgan engineer behind the LLM Course offers an 18-minute guide on fine-tuning and merging models using LoRA, QLoRA, DPO, KTO, and mergekit, claiming it outperforms costly bootcamps.
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Cached at: 07/16/26, 12:01 AM
Ex-JPMorgan engineer who wrote the LLM Course explained everything about fine-tuning and merging in 18 minutes - better than $2500 fine-tuning bootcamps.
pick the base -> LoRA or QLoRA -> then DPO or KTO for alignment -> merge two fine-tunes into one stronger model -> ship a model that beats the base on your task.
That loop is why Labonne’s merges sit at the top of the Hugging Face leaderboard.
LoRA + QLoRA + DPO + KTO + mergekit - that’s the stack.
Watch and save it, then merge your first two fine-tunes this week.
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