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What we will learn
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Generating fine tuning dataset
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Uploading your dataset
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Starting a Fine Tuning job
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Listing Fine Tuning jobs
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Cancelling Fine Tuning jobs
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Retrieving the progress of a Fine Tuning job
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Deleting a fine tuned model
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Tracking Fine Tuning progress in real time
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Plotting Fine Tuning progress
Description:
Learn how to fine-tune GPT-3.5 Turbo in Python using the OpenAI API through this comprehensive video tutorial. Follow step-by-step instructions covering the entire process, from generating and uploading datasets to starting and managing fine-tuning jobs. Discover techniques for tracking progress in real-time, plotting results, and handling various aspects of the fine-tuning process. Gain valuable insights into working with large language models and leveraging the OpenAI API for customized AI applications.

Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process

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