MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
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Learn about the GenAI maturity curve and discover when fine-tuning is actually necessary in this 18-minute conference talk from the AI Engineer World's Fair. Explore the decision-making process between simple instruction prompting, few-shot examples, and fine-tuning approaches for generative AI applications. Understand the concrete trigger points that indicate readiness to advance to more sophisticated techniques, based on insights from OpenPipe's experience fine-tuning thousands of models and redirecting customers who hadn't reached the necessary maturity thresholds. Gain practical guidance on how to accelerate your journey through the GenAI development process while avoiding premature optimization. The presentation draws from real-world experience serving millions of inference requests and helping customers determine the most appropriate AI implementation strategy for their specific use cases.
Syllabus
The GenAI Maturity Curve or You Probably Don't Need Fine Tuning: Kyle Corbitt
Taught by
AI Engineer