OpenAI's Most Advanced Model Can Now Be Customized. Here's How

🌈 Abstract

The article discusses OpenAI's announcement that its latest AI model, GPT-4o, can now be fine-tuned and customized by developers for business use. This allows companies to enhance the model's knowledge base with proprietary information and control how it responds to specific queries, enabling more tailored AI-powered solutions.

🙋 Q&A

[01] Fine-tuning GPT-4o

1. What are the key capabilities that developers can now access by fine-tuning GPT-4o?

• Developers can use their own datasets to enhance GPT-4o's knowledge base with proprietary information
• They can control how the model responds to specific questions, such as always responding to queries with bullet points
• Fine-tuning can have a large impact on model performance across a variety of domains, from coding to creative writing

2. What example does the article provide of how fine-tuning GPT-4o can enhance a business' operations? The article mentions that by fine-tuning GPT-4o on "examples of real software engineers at work", the model learned to respond to queries in a similar style to human engineers. This allowed the AI-powered software engineering assistant Genie to outperform other AI-assisted coding solutions.

3. What are the costs associated with fine-tuning GPT-4o?

• You'll need to pay $25 for every million tokens used to fine-tune GPT-4o
• For context, 1 million tokens is roughly equivalent to 2,500 pages in a standard-size book
• Additionally, you'll need to pay $3.75 and $15 per million tokens for every input processed and output generated, respectively
• The smaller GPT-4o mini model is more affordable, costing $3 for every million tokens used for fine-tuning

[02] Availability of fine-tuning

1. Who can now access the fine-tuning capabilities for GPT-4o? According to the article, developers working on OpenAI's API can now use their own datasets to fine-tune and customize GPT-4o for business use.