Aishwarya Srinivasan & Arvind Narayan
Sinan Ozdemir
Free Lesson

LLM Fine-Tuning Decision Framework

Part of Global AI Builder Series: by The Gen Academy

60 min
Sep 7, 2026 1:00 PM

53 students

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What you'll learn

Compare model improvement paths

Choose between prompting, RAG, fine-tuning, serving changes, and custom models.

Evaluate cost and latency tradeoffs

Estimate quality, maintenance, data needs, and deployment complexity up front.

Know when to fine-tune

Use a decision path for model strategy conversations with technical teams.

Why this topic matters

As open and hosted models improve, the harder question is not whether fine-tuning works, but when it is worth the cost. A clear decision framework helps teams trade off quality, latency, data, maintenance, and deployment complexity before committing to a model strategy.

You'll learn from

Aishwarya Srinivasan & Arvind Narayan

Aishwarya Srinivasan & Arvind Narayan

AI Engineers | Building & Teaching @ The Gen Academy

Sinan Ozdemir

Sinan Ozdemir

Head of AI Developer Education @ Fireworks AI

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