Building AI Applications with OpenAI APIs - Martin Yanev

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Martin Yanev 978-1-83588-400-3 Packt Publishing 2024
Building AI Applications with OpenAI APIs
2nd Edition 248
This book, you'll gain practical experience in integrating ChatGPT with popular fabrics and tools similar as Flask, Django, Microsoft Office APIs, and PyQt. We'll cover a wide range of NLP tasks and you'll learn how to make your veritably own ChatGPT clone and produce an AI- powered law bug- fixing SaaS operation.
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The  end of this book is to empower you with the knowledge and chops  needed to  work these  important APIs effectively. Through a series of nine innovative AI  systems, we will take you on a step- by- step  trip to  getting a  complete  inventor, able of creating, planting, and  monetizing your own intelligent  operations.  Throughout this book, you'll gain practical experience in integrating ChatGPT with popular  fabrics and tools  similar as Flask, Django, Microsoft Office APIs, and PyQt. We'll cover a wide range of NLP tasks and you'll learn how to  make your  veritably own ChatGPT clone and  produce an AI-  powered  law bug- fixing SaaS  operation. also, we will explore speech recognition,  textbook- to- speech capabilities, language  restatement, embeddings, and generating dispatch replies and PowerPoint  donations.  likewise, I'll educate you how to  OK - tune your own ChatGPT model. ChatGPT API  forfeiture- tuning opens possibilities for creating  largely  acclimatized and specialized AI  operations. By fine- tuning the ChatGPT model, we can train it on specific datasets, allowing the AI to learn and  acclimatize to specific   disciplines,  diligence, or  stoner conditions. This fine- tuning process enables the creation of AI  operations with enhanced  delicacy,  bettered applicability, and a deeper understanding of specific  surrounds. 

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