Mini-course | Fine-tuning GPT-3 with Python with your own data for improved performance

Important
This mini-course covers how to fine-tune a Davinci model. A newly updated course for how to fine-tune a ChatGPT (GPT-3.5-turbo) is on the way.

In this video mini-course, you will learn how to fine-tune a GPT-3 model with your own data using Python to generate high-quality text that meets your specific needs.

Whether you're a:

• content creator
• marketer
• researcher
• developer

Being able to train a GPT-3 model with your own data can be a powerful tool to help you accomplish your goals.

With over 175 billion parameters, GPT-3 is one of the largest and most powerful language models available.

However, it's trained on a diverse range of internet text and may not be tailored to your specific use case.

💡 That's where fine-tuning comes in 💡

By feeding your own data into the model and tweaking the pre-trained weights, you can create a custom model that produces text that is better suited for your needs.

With step-by-step instructions, you'll gain the skills and knowledge to create custom AI language models that will take your projects to the next level.

Plus, the source code is included so you can follow along and start fine-tuning your own models today.

In this mini-course, you will learn:

• How to prepare your data for fine-tuning
• How to fine-tune a GPT-3 model with your own data

What's included:

• Step-by-step video course and instructions for preparing your data for fine-tuning
• A comprehensive guide on how to fine-tune a GPT-3 model with your own data
• The source code is included so you can follow along and start fine-tuning your own models

In this mini-course, you will receive:

• Access to a video course that will walk you through the process of fine-tuning a GPT-3 model with your own data
• The source code for the fine-tuning process, so you can experiment with it on your own

Whether you're looking to generate product descriptions, automate customer service, or generate creative writing prompts, this mini-course will provide you with the skills and knowledge to fine-tune a GPT-3 model that meets your specific needs.

By the end of this mini-course, you will have the skills and knowledge necessary to fine-tune a GPT-3 model with your own data and generate text that meets your specific needs.

Don't miss this opportunity to take your natural language generation skills to the next level!

Drop me a line on Twitter or send an email to hello@norahsakal.com with your feedback or questions, and I'll be glad to help!

This course is based on my blog post How to fine-tune a GPT-3 model using Python with your own data for improved performance