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\nHow to Choose a Pre-Trained Model for Fine-Tuning\n

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\nIn this lesson, you will learn about the different pre-trained models offered by OpenAI's GPT-3, and how to choose the best one for your fine-tuning project. You will be introduced to the four basic models available for fine-tuning,...\nIn this lesson, you will learn about the different pre-trained models offered by OpenAI's GPT-3, and how to choose the best one for your fine-tuning project. You will be introduced to the four basic models available for fine-tuning, including DaVinci, Curie, Anna, and Babbage. The lesson will cover the specifications of each model, such as how many tokens they can take and their capabilities. You will also be shown how to access the documentation section of OpenAI's website and preview the models. By the end of the lesson, you will have a clear understanding of which model is best suited for your specific fine-tuning needs.\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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3:14
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Grade
12th - Higher Ed
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Subjects
Social Studies & History
5 more...
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Media Type
Instructional Videos
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Source:
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\nTekno Academy EN\n\n
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Date
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2023
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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cost, work
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Additional Tags

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fine-tuning, natural language processing (nlp), machine learning, openai, python, libraries and packages, data preparation, model training, model evaluation, text generation, open ai, documentation section, fine tuning, da vinci, basic, good, responses, model, gpt 3, models, lesson, choose, requirements, project, order, preview, meet, source, scrolling, thing, specifically, depend, abilities, adda, query, fastest, fast, thinking
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Classroom Considerations

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Best For: Explaining a topic
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