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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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Summary

In this chapter, we discussed the concept of fine-tuning within the ChatGPT API, exploring how it can help us to tailor ChatGPT API responses to our specific needs. By training a pre-existing language model on a diverse dataset, we enhanced the davinci model performance and adapted it to a particular task and domain. Fine-tuning enriched the model’s capacity to generate accurate and contextually fitting responses by incorporating domain-specific knowledge and language patterns. Throughout the chapter, we covered several key aspects of fine-tuning, including the available models for customization, the associated costs, data preparation using JSON files, the creation of fine-tuned models via the OpenAI CLI, and the utilization of these models with the ChatGPT API. We underscored the significance of fine-tuning to achieve superior outcomes, reduce token consumption, and enable faster and more responsive interactions.

Additionally, the chapter offered a comprehensive...

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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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