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You're reading from  Building AI Applications with ChatGPT APIs

Product typeBook
Published inSep 2023
PublisherPackt
ISBN-139781805127567
Edition1st Edition
Concepts
GPT/LLMs
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Author (1)
Martin Yanev
Martin Yanev
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Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
Read more about Martin Yanev

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Technical Requirements

To fully benefit from this chapter, it is essential to have the necessary tools in place for working with Python code and the ChatGPT APIs. This chapter will provide step-by-step guidance on installing the required software and completing the necessary registrations.

You will need to have the following:

  • Python 3.7 or a later version installed on your computer
  • An OpenAI API key, which you can obtain by signing up for an OpenAI account
  • A code editor, such as PyCharm (recommended), to write and execute Python code

The code examples referenced in this chapter can be accessed on GitHub at https://github.com/PacktPublishing/Building-AI-Applications-with-ChatGPT-APIs/tree/main/Chapter11%20Models

In the next section, you will learn about various AI models, including GPT-3 and GPT-4, and develop the ability to select the most suitable model for your specific application.

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Building AI Applications with ChatGPT APIs
Published in: Sep 2023Publisher: PacktISBN-13: 9781805127567
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
Read more about Martin Yanev

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