# AI.SEA Co-Labs: How does Fine-Tuning Actually Work (and when should you bother?)
**Date de l'événement :** 15/05/2026
* Publié le 15/05/2026

### Date
15/05/2026

### Galerie d'image
![1.png](https://firebasestorage.googleapis.com/v0/b/memory-ai.appspot.com/o/prod%2FrKxsdSTpqCfzIFY8Y2hg%2FprojectsMedias%2FU8k9phapPuRekJGXGf4N%2Fthumbs%2F1_1600x900.png?alt=media&token=b5b27357-450e-4ff0-8fad-718a4ed4cc81) 

### Ville
`#Kuala Lumpur` 

## Description
How does fine-tuning actually work (and when should you bother)? Most builders have a vague sense that fine-tuning exists. Fewer know what it actually does to a model. Even fewer know when to reach for it versus just prompting better, adding RAG, or switching models entirely. This session fixes that. We'll walk the full spectrum — from in-context learning to LoRA to full fine-tuning — with one question at every stop: what are you actually changing, and toward what? By the end you'll have a mental model sharp enough to make the call yourself. As always, guided discussion. No passive listening. What we'll cover — Why the pretrained model already has opinions before you touch it — The fine-tuning spectrum: what changes, what it costs, and when each approach makes sense — LoRA, QLoRA, and why low-rank approximations work better than they should — Loss functions, SFT, and DPO — what you're actually optimising for and how you'd know if it's wrong — Hands-on: fine-tuning a small model + comparing base vs fine-tuned outputs Who this is for Builders who've shipped something with LLMs and want to go deeper. Some technical depth assumed — we won't be explaining what a token is. Format Guided discussion + hands-on practical Venue: Co-labs Coworking, KL Sentral Organized by AI.SEA

**Lien de l'évènement :** [https://luma.com/s8sjhqb5](https://luma.com/s8sjhqb5)

### Pays
`#Malaysia` 

### Continent
`#Asia` 

**Médias associés :**
[Média 1](https://80954c1d.sibforms.com/serve/MUIFABojU8UBbDiX_TdcGa7Wv5VMoVB_nBZ92mkLkGlS1pJLpP7s-pVJusyN-7cG9KPrSuv3fv7TmXwuw_AoyNUShR8jZhmNDgUbZPJO2V5xYXlNz4YXOTjSb8X7Lj7PRIPzgzEWlLbA4f4uw_F8RM51EUsjSfQQko0qaby98GHMdYJVWLIXd5JzzaXBGmqN2CcYOFuqnbnaYEnw) 

## event_id
evt-Zr0fMhAjtKO7BO1@events.lu.ma

### Outils
`#LoRA` `#QLoRA` `#SFT` `#DPO` 



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