OpenAI API: Fine-Tuning.
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2024.
Format
eVideo
Status
Description
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Language
English
Notes
General Note
4/23/202412:00:00AM
Participants/Performers
Presenter: Morten Rand-Hendriksen
Description
Learn how to fine-tune GPT models by submitting your own data for improved steerability, more reliable output formatting, and a more customized experience.
Description
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.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Rand-Hendriksen, M. (2024). OpenAI API: Fine-Tuning . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Rand-Hendriksen, Morten. 2024. OpenAI API: Fine-Tuning. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Rand-Hendriksen, Morten. OpenAI API: Fine-Tuning linkedin.com, 2024.
MLA Citation, 9th Edition (style guide)Rand-Hendriksen, Morten. OpenAI API: Fine-Tuning linkedin.com, 2024.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
259b1d2d-6115-401f-9726-e7ffac42a01a-eng
Grouping Information
| Grouped Work ID | 259b1d2d-6115-401f-9726-e7ffac42a01a-eng |
|---|---|
| Full title | openai api fine tuning |
| Author | rand hendriksen morten |
| Grouping Category | movie |
| Last Update | 2024-05-30 16:57:52PM |
| Last Indexed | 2024-06-29 02:37:31AM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Jan 18, 2024 |
| Last Used | May 12, 2024 |
Marc Record
| First Detected | May 30, 2024 04:59:01 PM |
|---|---|
| Last File Modification Time | May 30, 2024 04:59:01 PM |
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