Название: Generative AI for Everyone: Deep Learning, NLP, and LLMs for creative and practical applications
Автор: Karthikeyan Sabesan, Sivagamisundari, Nilip Dutta
Издательство: BPB Publications
Год: 2025
Страниц: 414
Язык: английский
Формат: epub (true)
Размер: 24.3 MB

Generative AI is revolutionizing the way we interact with technology. Imagine creating hyper-realistic images, composing original music pieces, or generating creative text formats, all with the help of AI. This book provides a comprehensive exploration of generative AI and its transformative impact across various industries.

This book begins with the basics of AI, explaining ML and design patterns to build a solid foundation. It delves deeply into Generative AI and then progresses through Machine Learning, Deep Learning, and essential architectures such as CNNs, GANs, Diffusion, RNNs, LSTMs, and Transformers. It covers practical applications, from regression and classification to advanced use cases such as image generation, editing, document search, content summarization, and question answering. Readers will also learn to build prototypes like a Document Q&A bot, research assistant, and prompt playground, while mastering techniques such as continued pre-training, fine-tuning, model merging, retrieval-augmented generation, and agentic AI.

By the end of this book, you will transform from a curious beginner to a confident, Generative AI user. You will possess the knowledge and skills to explore its capabilities for creative expression, problem-solving, and even business innovation. You will be able to confidently navigate the world of Generative AI, turning your ideas into reality.

TensorFlow is an open-source deep-learning library that is developed and maintained by Google. It offers dataflow programming, which performs a range of ML tasks. It was built to run on multiple CPUs or GPUs and even mobile operating systems, and it has several wrappers in several languages like Python, C++, or Java.

Keras is an open-source neural network library in Python that runs on top of Theano or TensorFlow. It is designed to be modular, fast and easy to use. It was developed by François Chollet, a Google engineer. It is a useful library to construct any deep learning algorithm It is an end-to-end platform that is built to be powerful and operate at a high-performance level.

LangChain is an open-source framework available in Python and Java-based libraries. It provides interchangeable tools, frameworks, and integrations to automate and simplify the development of LLM applications and the creation of text generation pipelines. The LangChain features include LLM model imports, chain, prompt templates, memory, document loaders, text splitters, agents, vector stores API, tools, and agents. LangChain hub is a central repository where commonly used prompts, chains, agents, new use-cases and more are shared and available for use. In the below section, we will look into each of the LangChain components.

Key Features:

- Explore the entire spectrum of generative AI, from fundamental AI concepts to advanced LLM applications.
- Includes practical examples, code snippets, and real-world case studies to enhance learning and understanding.
- Learn how to use generative AI for business applications, including ethical considerations.

What you will learn:

- Explore concepts of AI, ML, deep learning, and generative AI.
- Learn about computer vision and generative image AI supported by coding examples.
- Discover NLP Techniques, Transformer architecture components and generative text AI supported by coding examples.
- Understand prompt engineering and LLM frameworks while building prototypes.
- Examine the role of LLM operations throughout the entire LLM lifecycle.
- Investigate the potential impact of generative AI on enterprises and develop business strategies.

Who this book is for:
This book is ideal for anyone curious about Generative AI, regardless of their prior technical expertise. Whether you are a business professional, a student, an artist, or simply someone fascinated by the future of technology, this book will provide you with a clear and accessible understanding of this groundbreaking field.

Contents: