What will I learn in Learn Fine-Tuning?

Decide SFT vs. RAG vs. prompting Run LoRA / QLoRA fine-tuning Apply preference optimization (DPO)

How long does Learn Fine-Tuning take?

Approximately 36 hours across 3 phases.

What projects are included?

Domain LoRA Adapter • DPO Alignment Run • Adapter Eval Suite • Adapter Serving

ModelRefs / Learn Fine-Tuning — AI Learning Pathway

Learn Fine-Tuning — AI Learning Pathway

Adapt foundation models with SFT, LoRA, and DPO.

What this reference supports

Learn Fine-Tuning — AI Learning Pathway: This learning reference introduces the concept, explains how it connects to AI implementation decisions, and points to deeper profiles, workflows, benchmarks, and guides.

Learn Fine-Tuning — AI Learning Pathway: Focus on the boundary of the concept as well as its benefits. Understanding what a method cannot establish matters when interpreting model claims, benchmark results, provider features, or workflow designs.

Learn Fine-Tuning — AI Learning Pathway: Continue into the related references and apply the concept to a concrete decision with explicit constraints, evidence requirements, risks, and evaluation criteria.

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Learn Fine-Tuning — AI Learning Pathway.