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AI Engineering track

Fine-Tuning

When to fine-tune, datasets, PEFT/LoRA and evaluation after tuning.

8 concepts4 labs
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1

Fine-Tuning Overview

Concept · Hands-on lab included

2

When to Tune

Concept · Hands-on lab included

3

Dataset Preparation

Concept · Hands-on lab included

4

PEFT & LoRA

Concept · Hands-on lab included

5

The Tuning Pipeline

Concept · Hands-on lab included

6

Eval After Tuning

Concept · Hands-on lab included

7

Tuning Versus RAG

Concept · Hands-on lab included

8

Managing Model Updates

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

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Size a Fine-Tuning Dataset

25 min · beginner · Fine-Tuning Overview

Clean & Split a Tuning Dataset

35 min · intermediate · Dataset Preparation

Low-Rank LoRA Math

30 min · intermediate · PEFT & LoRA

A/B Script: Adapter vs Untuned Baseline

30 min · advanced · Managing Model Updates

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DevOpsForge - AI Engineering · Fine-Tuning
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