Using generative AI and automation for improvement
Unlock efficiency and save costs by fine-tuning the ChatGPT 3.5 Turbo model with our step-by-step guide to generative AI and automation.
The key insights from this article are that OpenAI has released fine-tuning for the ChatGPT 3.5 Turbo model, which allows for customization to specific tasks and improves durability and reliability of the output. Fine-tuning also enables the shortening of prompts, saving time and cutting costs. The article provides a step-by-step guide on how to fine-tune the ChatGPT 3.5 Turbo model, including formatting data into JSON, gathering examples, uploading examples, creating a fine-tuning job, and using the fine-tuned model. The cost of fine-tuning is divided into training cost and usage cost.
Original article: How to Fine-tune a ChatGPT 3.5 Turbo Model Step by Step Guide
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AI as staff, not software
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Knowledge work was never work
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The practice of work in progress
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What the API decides not to show you
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