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Growth Paths / AI Research 3: LoRA fine-tune and published evaluation
ExpertSkills

AI Research 3: LoRA fine-tune and published evaluation

Fine-tune an open model cheaply, then publish an evaluation anyone can repeat.

Fine-tune an open model cheaply, then publish an evaluation anyone can repeat. Free resources, your code in a public repo, and real work confirmed by people. Part of the Varsity Curriculum: AI Research.

Part of: AI Research · Proves for: Engineers, PG

1 required outcomes6 weeksCredential on completion

Path outcomes

How this is verified: 8 are confirmed by people who saw the work.

SkillsOptional

Ship AI Products in Production

Prerequisite (optional here): the AI Engineering phase this builds on.

Take this Challenge →

6 milestones

  1. 1Set up your AI development environment
  2. 2Ship your first LLM feature publicly
  3. 3Build a RAG system with citations
  4. 4Use function calling with two tools
  5. 5Build and evaluate a multi-step agent
  6. 6Ship an AI product with 10 users
Skills

Fine-tune a model with LoRA and publish the evaluation

Research step 3.

Take this Challenge →

2 milestones

  1. 1Fine-tune with LoRA or QLoRA
  2. 2Publish an evaluation anyone can repeat

Resources for this path

No affiliate links. No sponsored placements.

Free official docs for parameter-efficient fine-tuning.

Free course: models, datasets and fine-tuning.