LLM Fine-Tuning Decision Framework
Part of Global AI Builder Series: by The Gen Academy
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Hosted by Aishwarya Srinivasan & Arvind Narayan and Sinan Ozdemir
Mon, Sep 7, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
Mon, Sep 7, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
Compare model improvement paths
Evaluate cost and latency tradeoffs
Know when to fine-tune
Why this topic matters
You'll learn from
Aishwarya Srinivasan & Arvind Narayan
AI Engineers | Building & Teaching @ The Gen Academy
Aishwarya Srinivasan is the co-founder of The Gen Academy and one of the world's most recognized AI educators, with a community of over 1.2 million AI professionals across social platforms. Previously, she led AI Developer Relations at Fireworks AI and spent over a decade building AI products and ecosystems at Google, Microsoft, and IBM. She holds a Master's in Data Science from Columbia University. Known for breaking down complex AI concepts with clarity and honesty, Aishwarya teaches builders how to move beyond demos and develop production-ready AI systems that solve real business problems.
Arvind Narayanamurthy is the Co-founder of The Gen Academy, Previously AI Solutions Architect at Ema, and Founder of Eikos Health. He has built and deployed enterprise AI systems across Microsoft, IBM, Adobe, and high-growth startups, leading initiatives that translated machine learning into measurable business impact. Arvind holds a Master's degree from Carnegie Mellon University. His teaching focuses on first-principles thinking, practical engineering, and helping builders design, evaluate, and deploy reliable AI systems for production.
Sinan Ozdemir
Head of AI Developer Education @ Fireworks AI
Sinan Ozdemir is Head of AI Developer Education at Fireworks AI, where he builds education programs, examples, and community for developers working with fast inference and training. He is the author of 10+ AI and LLM books, founder of Kylie.ai, and a former AI lecturer/author for Pearson and O'Reilly.
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