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David Korn

DaveK23
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Yntec/blitz_diffusion:Broken models [SOLVED]
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New activity in Yntec/blitz_diffusion 26 days ago

Broken models [SOLVED]

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#5 opened 27 days ago by
rockguard
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WTF is Fine-Tuning? (intro4devs)

Fine-tuning your LLM is like min-maxing your ARPG hero so you can push high-level dungeons and get the most out of your build/gear... Makes sense, right? ๐Ÿ˜ƒ

Here's a cheat sheet for devs (but open to anyone!)

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TL;DR

- Full Fine-Tuning: Max performance, high resource needs, best reliability.
- PEFT: Efficient, cost-effective, mainstream, enhanced by AutoML.
- Instruction Fine-Tuning: Ideal for command-following AI, often combined with RLHF and CoT.
- RAFT: Best for fact-grounded models with dynamic retrieval.
- RLHF: Produces ethical, high-quality conversational AI, but expensive.

Choose wisely and match your approach to your task, budget, and deployment constraints.

I just posted the full extended article here
if you want to continue reading >>>

https://huggingface.co/blog/tegridydev/fine-tuning-dev-intro-2025
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