How to Choose a Pre-Trained Model for Fine-Tuning
Interactive Video
•
Information Technology (IT), Architecture, Social Studies
•
11th Grade - University
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Practice Problem
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Hard
Wayground Content
FREE Resource
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.
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2 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the Curie model perform in sentiment analysis?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What factors should be considered regarding the cost of fine-tuning a model?
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