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GPT-4 for developers / Oswald Campesato.

Por: Editor: Duxbury : Mercury Learning and Information, 2023Descripción: 1 online resource (169 pages)Tipo de contenido:
  • text
Tipo de medio:
  • unmediated
Tipo de soporte:
  • volume
ISBN:
  • 9781501522482
Tema(s): Clasificación LoC:
  • TA347 .A78 C367 2023
Contenidos:
1: ChatGPT and GPT-4 -- 2: ChatGPT and Python -- 3: ChatGPT and Data Visualization -- 4: Linear Regression With GPT-4 -- 5: Visualization with Generative AI -- Index
Resumen: ""GPT-4 For Developers" is an in-depth guide to understanding and working with OpenAI's GPT-4 and ChatGPT models, with a significant emphasis on Python programming and data visualization. The book commences by giving a comprehensive overview of ChatGPT and GPT-4, exploring their capabilities, strengths, weaknesses, and comparing them to other competing models and technologies. Chapter 2 is a treasure trove for developers, packed with Python 3.x code samples generated by ChatGPT and GPT-4, showcasing a range of tasks from simple calculations to asynchronous programming. Chapter 3 dives into data visualization, offering readers numerous techniques and tools to represent data graphically using libraries like Matplotlib and Seaborn. The subsequent chapter simplifies the complex world of linear regression, elucidating its concepts with the help of illustrative Python code samples. The concluding chapter takes readers on a journey through the captivating realm of Generative AI, focusing on visualization tools and models"-- Provided by publisher.
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Libro electrónico Biblioteca de Mayagüez Acceso en línea TA347 .A78 C367 2023 (Navegar estantería(Abre debajo)) Ebook Disponible 50000003294161
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Extensive Python 3.x code samples generated using ChatGPT and GPT-4, covering diverse programming tasks and challenges. Comprehensive exploration of data visualization techniques using popular Python libraries such as Matplotlib and Seaborn.

This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading.

1: ChatGPT and GPT-4 -- 2: ChatGPT and Python -- 3: ChatGPT and Data Visualization -- 4: Linear Regression With GPT-4 -- 5: Visualization with Generative AI -- Index

""GPT-4 For Developers" is an in-depth guide to understanding and working with OpenAI's GPT-4 and ChatGPT models, with a significant emphasis on Python programming and data visualization. The book commences by giving a comprehensive overview of ChatGPT and GPT-4, exploring their capabilities, strengths, weaknesses, and comparing them to other competing models and technologies. Chapter 2 is a treasure trove for developers, packed with Python 3.x code samples generated by ChatGPT and GPT-4, showcasing a range of tasks from simple calculations to asynchronous programming. Chapter 3 dives into data visualization, offering readers numerous techniques and tools to represent data graphically using libraries like Matplotlib and Seaborn. The subsequent chapter simplifies the complex world of linear regression, elucidating its concepts with the help of illustrative Python code samples. The concluding chapter takes readers on a journey through the captivating realm of Generative AI, focusing on visualization tools and models"-- Provided by publisher.

Notas de autor provistas por Syndetics

Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
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