5 LLM fine-tuning techniques explained visually, from 3 years of practice

usamawahabkhan · x · 2026-10-19

After 3 years of fine-tuning LLMs, avichawla visually explains 5 techniques. Full fine-tuning is impractical for LLMs (billions of params, hundreds of GB), so parameter-efficient fine-tuning (PEFT) methods were built. The thread grounds readers in matrix rank — most PEFT techniques find a lower-rank adaptation of weight matrices — then walks through each technique (including LoRA) with visuals.

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5 LLM fine-tuning techniques explained visually, from 3 years of practice

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