{"product_id":"generative-ai-foundations-in-python-discover-key-techniques-and-navigate-modern-challenges-in-llms-paperback","title":"Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eCarlos Rodriguez\u003c\/b\u003e (Author), \u003cb\u003eSamira Shaikh\u003c\/b\u003e (Foreword by)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBegin 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\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation\u003c\/p\u003e\u003cp\u003e- Use transformers-based LLMs and diffusion models to implement AI applications\u003c\/p\u003e\u003cp\u003e- Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems\u003c\/p\u003e\u003cp\u003e- Purchase of the print or Kindle book includes a free PDF eBook\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eGenerative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You'll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you'll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Discover the fundamentals of GenAI and its foundations in NLP\u003c\/p\u003e\u003cp\u003e- Dissect foundational generative architectures including GANs, transformers, and diffusion models\u003c\/p\u003e\u003cp\u003e- Find out how to fine-tune LLMs for specific NLP tasks\u003c\/p\u003e\u003cp\u003e- Understand transfer learning and fine-tuning to facilitate domain adaptation, including fields such as finance\u003c\/p\u003e\u003cp\u003e- Explore prompt engineering, including in-context learning, templatization, and rationalization through chain-of-thought and RAG\u003c\/p\u003e\u003cp\u003e- Implement responsible practices with generative LLMs to minimize bias, toxicity, and other harmful outputs\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Understanding Generative AI: An Introduction\u003c\/p\u003e\u003cp\u003e- Surveying GenAI Types and Modes: An Overview of GANs, Diffusers, and Transformers\u003c\/p\u003e\u003cp\u003e- Tracing the Foundations of Natural Language Processing and the Impact of the Transformer\u003c\/p\u003e\u003cp\u003e- Applying Pretrained Generative Models: From Prototype to Production\u003c\/p\u003e\u003cp\u003e- Fine-Tuning Generative Models for Specific Tasks\u003c\/p\u003e\u003cp\u003e- Understanding Domain Adaptation for Large Language Models\u003c\/p\u003e\u003cp\u003e- Mastering the Fundamentals of Prompt Engineering\u003c\/p\u003e\u003cp\u003e- Addressing Ethical Considerations and Charting a Path Toward Trustworthy Generative AI\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 190\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.4 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 26, 2024\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43154937577535,"sku":"9781835460825","price":69.1,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/YfuBu9KknE9781835460825.webp?v=1776960749","url":"https:\/\/dhlswag.com\/products\/generative-ai-foundations-in-python-discover-key-techniques-and-navigate-modern-challenges-in-llms-paperback","provider":"BBB","version":"1.0","type":"link"}