How to Choose a Pre-Trained Model for Fine-Tuning

The video tutorial guides viewers on selecting a pre-trained GPT-3 model for their projects. It covers navigating OpenAI's website to explore model specifications and highlights the key GPT-3 models available for fine-tuning: Da Vinci, Curie, Ada, and Babbage. The tutorial emphasizes considering factors like cost, capabilities, and token limits when choosing a model. It concludes with advice on evaluating project requirements and resources to make an informed decision.

How does the Curie model perform in sentiment analysis?

What factors should be considered regarding the cost of fine-tuning a model?