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GPT 3.5 Fine Tuning Just Announced - Everything You Need to Know

echohive via YouTube

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Overview

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A practical walkthrough of fine-tuning GPT-3.5 Turbo, covering data formats and preparation, cost estimates, API calls, and ways to improve the training dataset.

Syllabus

Waiting spinner
Intro
My older fine tuning video with examples
Continuing reading the blog post
Fine tuning data format
Continuing reading the blog post
reexamining fine tuning data format
Continuing reading the blog post
example API call
Fine Tuning Steps
Pricing
Looking at Fine Tuning documentation
Preparing Fine Tuning data
How much data do I need?
How to estimate costs
Python code for Fine Tuning
My example Fine Tuning video with legacy models
gpt llm trainer repo
How do I use a fine tuned model?
How to improve the dataset
Fine Tuning examples
Generate Python code for API call with Playground
FAQ

Taught by

echohive

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