Название: Ultimate Generative AI Solutions on Google Cloud: Practical Strategies for Building and Scaling Generative AI Solutions with Google Cloud Tools, Langchain, RAG, and LLMOps
Автор: Arun Pandey
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 349
Язык: английский
Формат: epub (true)
Размер: 20.2 MB

Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!

Book Description
Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions.

The Chapter 1 provides a comprehensive overview of Machine Learning and its various types, from supervised to unsupervised and reinforcement learning. It delves into transformer models, which have reshaped AI development, particularly in natural language processing, and explores the growing domain of generative AI. The chapter also introduces foundation models and model hubs, critical tools for building advanced AI applications. Finally, we will outline the life cycle of generative AI and demonstrate how to leverage Google Cloud’s tools and infrastructure to develop scalable, AI-driven solutions.

Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease.

This chapter offers a comprehensive introduction to large-language models (LLMs), delving into their core components and key concepts. It explores various types of transformer-based models, the backbone of modern LLMs, and examines the strategies involved in training and pre-training these models to enhance their performance. Additionally, the chapter discusses the importance of scaling and optimization techniques to ensure that LLMs can handle increasingly complex tasks and datasets. Through this overview, readers will gain a solid understanding of the foundational aspects of LLMs and how to effectively build and optimize them for various applications.

By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.

Contents:







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