Duration: 47m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 177 MB
Level: General | Genre: eLearning | Language: English
https://www.linkedin.com/learning/openai-api-fine-tuning-21058733
Fine-tuning GPT models allows you to submit examples of the types of responses the AI system should provide based on user input. This is a great way of ensuring the system speaks in a voice and tone of your choosing, and eliminates the need for providing a description of the agent before each prompt.
OpenAI’s API enables you to submit your own fine-tuning training data. In this course, Senior Staff Instructor and AI whisperer Morten Rand-Hendriksen shows you how to fine-tune OpenAI’s GPT models by uploading your own data to create a unique custom model. This course takes you through the process of preparing your data, submitting the data for fine-tuning through the OpenAI API, and using the fine-tuned model for regular interactions with the AI API. Fine-tuning GPT provides better performance, enables you to shorten your prompts, and keeps the AI system on track and on target with your business content and context. 
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