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title: Learn how to fine-tune LLMs in 12 hours | daily.dev
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Learn how to fine-tune LLMs in 12 hours

**[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 2 min read · 116 upvotes · 1 comments

## Summary

A 12-hour freeCodeCamp course covering LLM fine-tuning from foundations to enterprise applications. The curriculum spans four major areas: Parameter-Efficient Fine-Tuning (PEFT) with LoRA and QLoRA for consumer hardware, advanced alignment techniques including RLHF and Direct Preference Optimization (DPO), high-performance tooling like Unsloth, Axolotl, and Llama Factory, and enterprise/multimodal AI covering Vision Transformers, multimodal architectures, and APIs from OpenAI and Google Cloud Vertex AI.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.freecodecamp.org/news/learn-how-to-fine-tune-llms-in-12-hours/>

## Community discussion

Top comments from developers on daily.dev.

**@markcoleman** · 8 upvotes

> It's been my experience that training is the easy part. The hard part is getting data worth training. Just cramming your code into a model does not work.

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---

Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#llm](https://daily.dev/tags/llm), [#lora](https://daily.dev/tags/lora)

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