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Generative AI with Python and PyTorch, Second Edition: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications by Joseph Babcock, Raghav Bali ISBN 9781835884447, 183588444X instant download

  • SKU: EBN-234294620
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Instant download (eBook) Generative AI with Python and PyTorch, Second Edition: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications after payment.
Authors:Joseph Babcock, Raghav Bali
Pages:451 pages
Year:2025
Edition:2
Publisher:Packt Publishing
Language:english
File Size:78.76 MB
Format:pdf
ISBNS:9781835884447, 183588444X
Categories: Ebooks

Product desciption

Generative AI with Python and PyTorch, Second Edition: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications by Joseph Babcock, Raghav Bali ISBN 9781835884447, 183588444X instant download

Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs)
 
Key Features
    Implement real-world applications of LLMs and generative AI
    Fine-tune models with PEFT and LoRA to speed up training
    Expand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and LlamaIndex
 
Become an expert in Generative AI through immersive, hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch is your end-to-end guide to creating advanced AI applications, made easy by Raghav Bali, a seasoned data scientist with multiple patents in AI, and Joseph Babcock, a PhD and machine learning expert. Through business-tested approaches, this book simplifies complex GenAI concepts, making learning both accessible and immediately applicable.
 
From NLP to image generation, this second edition explores practical applications and the underlying theories that power these technologies. By integrating the latest advancements in LLMs, it prepares you to design and implement powerful AI systems that transform data into actionable intelligence.
 
You’ll build your versatile LLM toolkit by gaining expertise in GPT-4, LangChain, RLHF, LoRA, RAG, and more. You’ll also explore deep learning techniques for image generation and apply styler transfer using GANs, before advancing to implement CLIP and diffusion models.
Whether you’re generating dynamic content or developing complex AI-driven solutions, this book equips you with everything you need to harness the full transformative power of Python and AI.
 
Who this book is for
This book is for data scientists, machine learning engineers, and software developers seeking practical skills in building generative AI systems. A basic understanding of math and statistics and experience with Python coding is required.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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