End-2-end tutorial on fine-tuning, the whole journey

End-2-end tutorial on fine-tuning, the whole journey

I put together a hands-on tutorial that takes you from problem framing to fine-tuning, step by step.

I decided to build a wildfire prevention system that uses satellite images and a Small Vision-Language Model (LFM2.5-VL-450M) to extract relevant risk factors that correlate with wildfire probability.

The whole journey is covered:

- Problem framing

- System design

- Evaluation

- Fine-tuning

I hope this helps :-)

submitted by /u/PauLabartaBajo
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