Ultimate IBM Granite for Enterprise Applications

<b><i>Build Future-ready Enterprise AI with IBM Granite and Watsonx AI.</i></b> <p/><b>Book Description</b><br>IBM Granite 3.0 delivers enterprise-ready open-source LLMs powered by Watsonx AI-making it essential for developers data scientists and IT professionals driving AI transformation. <p/><b>Ultimate IBM Granite for Enterprise Applications</b> offers a structured hands-on journey from foundational knowledge to real-world enterprise deployment. You will start by learning the principles of LLMs and then unpack the architecture of IBM Granite 3.0. guided tutorials to walk you through the installation process using GitHub and VSCode empowering you to replicate the setup on your systems. <p/>As you navigate through the book you will delve deeper into advanced prompt engineering techniques to improve accuracy and performance fine-tune Granite models for specialized business domains and streamline DevOps automation using Red Hat Ansible Lightspeed. Throughout the book code examples and Ansible playbooks ensure concepts that are not just explained but applied. <p/>In the final chapters you will focus on scaling deploying and maintaining Granite LLMs in production environments-complete with strategies for performance optimization version upgrades and enterprise integration. The book concludes with a forward-looking view into IBM's AI roadmap helping you to align your strategy with what is next. <p/>Hence whether you are building intelligent apps modernizing DevOps or planning long-term AI strategies this book equips you to harness Granite 3.0's full power. <p/><b>Table of Contents</b><br>1. The Fundamentals of LLMs<br>2. Granite 3.0's Architecture<br>3. Setting up Granite 3.0 from GitHub<br>4. Granite 3.0's Core Functionalities<br>5. Advanced Prompt Engineering<br>6. Fine-Tune Models for Specific Domains<br>7. Deployment and Enterprise Integration<br>8. Performance Optimization<br>9. Maintenance and Upgrade<br>10. Future AI Advances and IBM's Roadmap<br> <b>Index</b><br>