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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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Using Chat Completion Parameters

In this section, we will be using ChatGPT API parameters and will look at their profound impact on the quality of responses generated by models. By understanding and harnessing the power of these parameters, you will gain the ability to optimize your interactions with the ChatGPT API, unlocking its true potential. Some of the key parameters to control the API response are as follows:

  • model: Specifies the specific ChatGPT model to use for generating responses.
  • messages: Provides the conversation history as a list of message objects, including user and assistant messages.
  • temperature: Controls the randomness of the generated responses. Higher values (for example, 0.8) make the responses more random, while lower values (for example, 0.2) make them more focused and deterministic.
  • max_tokens: Sets the maximum number of tokens in the generated response. Limiting this parameter can control the length of the response.
  • stop: Allows you...
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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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