March 2025
Intermediate to advanced
454 pages
10h 37m
English
Overview
In "Generative AI with Python and PyTorch," you will embark on a comprehensive journey into the world of Generative Artificial Intelligence. This book covers the creation of advanced AI applications using the latest tools and methods. You'll explore large language models (LLMs), diffusion models, and various fine-tuning approaches, helping you design state-of-the-art AI solutions for natural language processing and computer vision.
What this Book will help me do
- Understand the core principles of LLM models and transformers.
- Master fine-tuning of neural networks using advanced techniques like LoRA and PEFT.
- Learn to implement text generation pipelines and manage LLM optimization.
- Discover the use of GANs and VAEs in generative image creation.
- Develop skills to integrate LLMs with effective prompt engineering techniques.
Author(s)
Joseph Babcock holds a PhD in machine learning and has years of experience applying AI to solve complex problems. Raghav Bali is a seasoned data scientist with multiple patents in the AI domain. Together, they bring a wealth of knowledge and practical insights into creating real-world generative AI applications.
Who is it for?
This book is ideal for data scientists, software developers, and machine learning engineers who are eager to dive into generative AI. It suits readers with a foundational understanding of Python and a basic grasp of mathematical concepts such as linear algebra and statistics. Whether you are refining your skills or transitioning into AI, this guide provides clear, actionable learning paths.
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