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LinkedIn Learning

OpenAI API: Fine-Tuning

via LinkedIn Learning

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Overview

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Learn how to fine-tune GPT models by submitting your own data for improved steerability, more reliable output formatting, and a more customized experience.

Syllabus

Introduction
  • Fine-tuning custom models with the OpenAI API
  • Exercise files and where to find them
1. Fine-Tuning Basics
  • When to create a fine-tuned model
  • Creating and formatting training data
  • Testing the training data
  • Creating a fine-tuning job in the playground
  • Using a fine-tuned model in the playground
  • Testing epoch-based checkpoints
2. Advanced Tools and Features
  • Fine-tuning through the API
  • Uploading training data to the API
  • Creating a fine-tuning job through the API
  • Retrieving a fine-tuning job and checking the status
  • Getting the model name once the job is completed
  • Using the fine-tuned model through the API
  • Cancelling a fine-tuning job
3. Further Info
  • Additional notes on fine-tuning

Taught by

Morten Rand-Hendriksen

Reviews

4.9 rating at LinkedIn Learning based on 35 ratings

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