Next-Gen Python: Exploring Advanced AI Tools
Language: English
Published by Dr. William Sewell, 2025
- Hardcover
- New

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- Title
- Next-Gen Python: Exploring Advanced AI Tools
- Author
- Sewell, Dr. William; Cooper, May
- Publisher
- Dr. William Sewell
- Publication year
- 2025
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 13
- 9798900566290
"Next-Gen Python: Exploring Advanced AI Tools" by Dr. William Sewell & May Cooper covers important advancements in artificial intelligence and programming with Python.
The book introduces Nemotron-4, a language model designed to better understand context and maintain coherent conversations. It also discusses SIMA, a system for managing large datasets using smart, automated methods while ensuring reliability.
Readers will learn about YAMLE, a tool that simplifies the setup and execution of machine learning experiments and allows for flexible workflows.
The book explains DeepSpeed, which helps train large AI models efficiently, reducing the need for powerful hardware while maintaining performance.
Mamba is presented as a fast alternative to traditional models. It focuses on efficient computing for tasks involving long data sequences, such as health or financial analysis.
Additionally, it points out the notion of security in AI with post-quantum cryptography, showcasing methods like Kyber and SPHINCS+ to protect data against future quantum computing threats.
Each chapter comprises theoretical insights along with practical coding examples, aiming to help readers develop their skills in AI using Python. This book equips you to push AI boundaries responsibly, efficiently, and brilliantly. The future of Python-powered AI starts here.
The book introduces Nemotron-4, a language model designed to better understand context and maintain coherent conversations. It also discusses SIMA, a system for managing large datasets using smart, automated methods while ensuring reliability.
Readers will learn about YAMLE, a tool that simplifies the setup and execution of machine learning experiments and allows for flexible workflows.
The book explains DeepSpeed, which helps train large AI models efficiently, reducing the need for powerful hardware while maintaining performance.
Mamba is presented as a fast alternative to traditional models. It focuses on efficient computing for tasks involving long data sequences, such as health or financial analysis.
Additionally, it points out the notion of security in AI with post-quantum cryptography, showcasing methods like Kyber and SPHINCS+ to protect data against future quantum computing threats.
Each chapter comprises theoretical insights along with practical coding examples, aiming to help readers develop their skills in AI using Python. This book equips you to push AI boundaries responsibly, efficiently, and brilliantly. The future of Python-powered AI starts here.
"Synopsis" may belong to another edition of this title.
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