Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!
Key Features
? Step-by-step guidance for building Generative AI apps on Google Cloud Platform.
? Pro tips for fine-tuning models to achieve optimal performance.
? Industry-specific use cases for practical, hands-on learning.
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.
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.
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.
What you will learn
? Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG.
? Fine-tune large language models (LLMs) with PEFT to meet precise business objectives.
? Master prompt engineering techniques to enhance model performance with GCP tools.
? Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run.
? Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps.
? Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring.
Table of Contents
1. Generative AI Essentials
2. Google Cloud Basics
3. Getting Started with Large Language Models
4. Prompt Engineering and Contextual Learning
5. Fine-Tuning a Large Language Model
6. Parameter-Efficient Fine-Tuning (PEFT)
7. Reinforcement Learning with Human Feedback
8. Model Optimization
9. LLMOps for Managing and Monitoring AI Projects
10. Harnessing RAG and LangChain
11. Case Studies and Real-World Implementations.
