InsideEdgeInsideEdge
Download App

Phase 21 · Build AI Engineer Portfolio Projects

Projects

Fine-Tuned LLM for a Niche Domain

Part of the AI Engineer Roadmap.

Summary

A model fine-tuned (via LoRA/QLoRA) for a specific domain or style — demonstrates you can go beyond prompting when a task genuinely needs it.

How to Learn This

  • 1Pick a narrow, well-defined domain where fine-tuning has a clear advantage over prompting.
  • 2Document your dataset construction process — it's usually the most interesting part to reviewers.
  • 3Report a clear before/after comparison against the base model.

Previous

RAG Chatbot with a Custom Knowledge Base

Next

AI Agent that Automates a Real Workflow

More projects in Build AI Engineer Portfolio Projects

End-to-End ML Pipeline with DeploymentRAG Chatbot with a Custom Knowledge BaseAI Agent that Automates a Real WorkflowComputer Vision App (e.g. Defect Detection)Multi-Modal AI ApplicationAI-Powered SaaS MVPKaggle Competition Submission
InsideEdge

Stuck on this topic? Ask an Insider

Get 1:1 guidance from people who've walked this exact path — free on the InsideEdge app.

Download
InsideEdge