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You're reading from  Building AI Applications with ChatGPT APIs

Product typeBook
Published inSep 2023
PublisherPackt
ISBN-139781805127567
Edition1st Edition
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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.
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Summary

In the section titled ChatGPT API Models GPT-3, GPT-4, and Beyond, we explored the different ChatGPT API models. Then we provided you with a deeper understanding of these AI models and their features, enabling you to choose the most suitable model for your specific applications. The chapter emphasized the importance of considering factors such as cost, quality, and prompt length when selecting a model, as the most advanced and capable model may not always be the best choice. Additionally, we used Python to allow you to compare the responses and costs of different models, aiding in the decision-making process.

We also focused on the various parameters of the ChatGPT API and their impact on response quality. We highlighted key parameters such as model, messages, temperature, max_tokens, stop, and n, and explained how they can be manipulated to optimize interactions with the ChatGPT API. You learned about the importance of rate limits in maintaining the stability and...

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Building AI Applications with ChatGPT APIs
Published in: Sep 2023Publisher: PacktISBN-13: 9781805127567

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