Model adaptation
LLM Fine-Tuning with the OpenAI API
Learn to fine-tune language models on your own datasets using the OpenAI API and platform interface.
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Course topics
Model adaptation
- Fine-tuning concepts
- OpenAI API workflow
- Platform interface
You compare the outputs
Find your fit
Is this a useful starting point?
For Python developers with pandas and basic API knowledge, including the OpenAI API.
- Starting point
- Intermediate
- Course length
- 2 total hours
- Lessons
- 11 lectures
Course by Jose Portilla, Pierian Training
Course last updated: 12/2023
Requirements
- Python experience required, including pandas and basic API knowledge
- Experience with the OpenAI API basics
What is included
- 2 hours on-demand video
- 1 article
- 2 downloadable resources
- Access on mobile
- Certificate of completion
DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.
Explore the lessons
Course curriculum.
3 sections • 11 lectures • 1h 49m total length
Course Overview4 lectures • 32min
- COURSE FAQs and DOWNLOADS HERE00:39
- Course Welcome02:37
- How LLM Fine-Tuning Works15:40
- OpenAI Account and API Key12:54
LLM Fine Tuning via OpenAI API6 lectures • 1hr 15min
- Dataset Processing18:55
- Dataset Statistics10:37
- Data Formatting14:40
- Training09:40
- Visualizing Losses08:59
- Application of Fine Tuned Model12:29
Fine Tuning via OpenAI Platform GUI1 lecture • 2min
- OpenAI Platform Fine-Tuning GUI02:02
From learning to practice
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Compare the API and platform-interface fine-tuning workflows using a learning dataset.
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