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

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

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

11th Grade - University

Hard

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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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