Glossary › Training

Fine-Tuning

Continuing to train a pre-trained model on task-specific data to change its behavior, style, or capabilities. Methods: full fine-tuning, LoRA, QLoRA. Changes weights permanently.

Where this is taught

• Hands-On LoRA Fine-tuning — Phase 4: Transformers & LLM Foundations
• Pretraining, Fine-tuning & LoRA — Phase 4: Transformers & LLM Foundations
• RAG, Fine-Tuning & Agents — When to Use Which — Phase 1: AI & ML Literacy for PMs
• Fine-Tuning Agents for Tool Use — Phase 8: Production Agent Infrastructure
• Transfer Learning & Fine-Tuning — Phase 0: Vision Foundations
• LoRA Fine-Tuning for Brand Consistency — Phase 2: Image Generation

Related terms

LoRA

More in Training

Backpropagation · Batch Size · Gradient Descent · LoRA (Low-Rank Adaptation) · RLHF · DPO (Direct Preference Optimization) · QLoRA · Learning Rate

Learn this by building

DeVenture Academy teaches AI engineering through projects — every lesson is paired with a hands-on lab you run on your own machine with real tools.

Create a free account — the opening phases of 24 of 30 courses are free, no credit card. Or see Pro pricing.

All courses · Pricing · About · FAQ · Glossary