Joseph Babcock, Raghav Bali - Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications. Second Edition (2025) бесплатно
Главная»Программирование и администрирование»Joseph Babcock, Raghav Bali - Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications. Second Edition (2025)
·
Автор
Сообщение
Prescious®
Joseph Babcock, Raghav Bali | Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications. Second Edition (2025) [PDF] -Автор: Joseph Babcock, Raghav Bali Издательство: Packt Publishing ISBN: 978-1835884447 Жанр: Компьютерная литература Язык: Английский Формат: PDF Качество: Изначально электронное (ebook) Иллюстрации: Цветные и черно-белые Описание: 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. Through business-tested approaches, this book simplifies complex GenAI concepts, making learning both accessible and immediately applicable. 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 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.
"Дополнительная информация:"
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. What you will learn Grasp the core concepts behind large language models and their capabilities Craft effective prompts using chain-of-thought, ReAct, and prompt query language to guide LLMs toward your desired outputs Understand how attention and transformers have changed NLP Optimize your diffusion models by combining them with VAEs Build text generation pipelines based on LSTMs and LLMs Leverage the power of open-source LLMs, such as Llama and Mistral, for diverse applications Table of Contents Introduction to Generative AI: Drawing Data from Models Building Blocks of Deep Neural Networks The Rise of Methods for Text Generation NLP 2.0: Using Transformers to Generate Text LLM Foundations Open-Source LLMs Prompt Engineering LLM Toolbox LLM Optimization Techniques Emerging Applications in Generative AI Neural Networks Using VAEs Image Generation with GANs Style Transfer with GANs Deepfakes with GANs Diffusion Models and AI Art
Скриншоты:
Главная»Программирование и администрирование»Joseph Babcock, Raghav Bali - Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications. Second Edition (2025)
·
Скачать Joseph Babcock, Raghav Bali - Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications. Second Edition (2025) слив курса.
Текущее время: Сегодня 13:17
Часовой пояс: GMT + 4
Вы не можете начинать темы Вы не можете отвечать на сообщения Вы не можете редактировать свои сообщения Вы не можете удалять свои сообщения Вы не можете голосовать в опросах Вы не можете прикреплять файлы к сообщениям Вы не можете скачивать файлы
