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.
Overview
Syllabus
– Introduction
– What is fine-tuning?
– Why fine-tuning?
– Ways of fine-tuning
– Parameter training methods
– Supervised fine-tuning steps
– Hands-on exercise
Taught by
Data Science Dojo
Related Courses
-
LLM - Fine tune with custom data
-
Mastering Fine-Tuning - A Crash Course on Fine-Tuning GPT-3.5 Turbo
-
LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model
-
Working with Hugging Face
-
Generative AI Advance Fine-Tuning for LLMs
-
Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process
