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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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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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ChatGPT API Rate Limits

Rate limits play a crucial role in maintaining the stability and fairness of the ChatGPT API. They are restrictions placed on the number of requests and tokens that a user or client can access within a specific time frame. OpenAI implements rate limits for several reasons:

  • Protection against abuse and misuse: Rate limits help safeguard the API from malicious actors who may attempt to overload the system by flooding it with excessive requests. By setting rate limits, OpenAI can mitigate such activities and maintain the quality of service for all users.
  • Ensuring fair access: By throttling the number of requests a single user or organization can make, rate limits ensure that everyone has an equal opportunity to utilize the API. This prevents a few users from monopolizing the resources and causing slowdowns for others.
  • Managing server load: With rate limits, OpenAI can effectively manage the overall load on its infrastructure. By controlling the...
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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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