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Total Size:
112.2 MB
Info Hash:
BECC3F5A5E7D0FA2ED9AC78F2DCDE3CDA2CD31F0
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Added:
Aug. 27, 2025, 12:56 p.m.
Stats:
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(Last updated: Sept. 20, 2025, 1:38 a.m.)
| File | Size |
|---|---|
| Code.zip | 17.6 MB |
| Bluck A. Ultimate IBM Granite for Enterprise Applications...2025.pdf | 94.6 MB |
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541.5 MB
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2023-06-02
| Uploaded by vtwin88cube2 | Size 541.5 MB | Health [ 0 /2 ] | Added 2023-06-02 |
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11.0 GB
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2025-04-15
| Uploaded by IGGGAMESCOM | Size 11.0 GB | Health [ 19 /7 ] | Added 2025-04-15 |
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741.6 MB
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2023-07-27
| Uploaded by TheDarkRider | Size 741.6 MB | Health [ 1 /3 ] | Added 2023-07-27 |
NOTE
SOURCE: Bluck A. Ultimate IBM Granite for Enterprise Applications...2025
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COVER
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MEDIAINFO
Textbook in PDF format Build Future-ready Enterprise AI with IBM Granite and Watsonx AI. Ultimate IBM Granite for Enterprise Applications 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. 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. 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. 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. Preface The Fundamentals of LLMs Granite 3.0’s Architecture Setting up Granite 3.0 from GitHub Granite 3.0’s Core Functionalities Advanced Prompt Engineering Fine-Tune Models for Specific Domains Deployment and Enterprise Integration Performance Optimization Maintenance and Upgrade Future AI Advances and IBM’s Roadmap
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