求非转换、非扫描pdf版Generative AI Foundations in Python

Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs [color=var(--__N4QdCheV6wPa,#565959) !important]Paperback – 26 July 2024

by [color=var(--__N4QdChsbGN6j,#2162a1)]Carlos Rodriguez (Author), [color=var(--__N4QdChsbGN6j,#2162a1)]Samira Shaikh (Foreword)

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Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials

Key Features

• [color=var(--__N4QdCheV6mGo,#0f1111)]Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation
• [color=var(--__N4QdCheV6mGo,#0f1111)]Use transformers-based LLMs and diffusion models to implement AI applications
• [color=var(--__N4QdCheV6mGo,#0f1111)]Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems
• [color=var(--__N4QdCheV6mGo,#0f1111)]Purchase of the print or Kindle book includes a free PDF eBook
  

Book Description

The intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application.

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