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1
– Introduction
2
– What is fine-tuning?
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– Why fine-tuning?
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– Ways of fine-tuning
5
– Parameter training methods
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– Supervised fine-tuning steps
7
– Hands-on exercise
Description:
Explore a comprehensive 52-minute crash course on fine-tuning OpenAI's GPT-3.5 Turbo model. Learn how to unlock its full potential by customizing it for specific use cases, achieving top-tier performance, enhancing steerability, and ensuring consistent output formatting. Dive into the fundamentals of fine-tuning, understand its importance, explore various fine-tuning methods, and discover parameter training techniques. Follow along with a hands-on exercise to apply your newfound knowledge. Perfect for developers looking to tailor AI models to their unique needs and create consistent, on-brand AI experiences.

Fine Tune GPT-3.5 Turbo

Data Science Dojo
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