Generative AI on AWS: (Record no. 34466)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 978-1098159221 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Author Mark | FRE-G |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Fregly, Chris |
| 245 ## - TITLE STATEMENT | |
| Title | Generative AI on AWS: |
| Sub-Title | Building Context-Aware Multimodal Reasoning Applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | Sebastopol, CA,. |
| Name of publisher, distributor, etc. | O'Reilly Media |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 289p. |
| 500 ## - GENERAL NOTE | |
| General note | Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.<br/><br/>You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images.<br/><br/>Apply generative AI to your business use cases<br/>Determine which generative AI models are best suited to your task<br/>Perform prompt engineering and in-context learning<br/>Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA)<br/>Align generative AI models to human values with reinforcement learning from human feedback (RLHF)<br/>Augment your model with retrieval-augmented generation (RAG)<br/>Explore libraries such as LangChain and ReAct to develop agents and actions<br/>Build generative AI applications with Amazon Bedrock<br/> |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Include Index. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cyber Security | Air University Kharian Campus Library | Air University Kharian Campus Library | Artificial Intelligence | 02/17/2025 | Ali Book Service | 1598.00 | 006.3 FRE-G | AUKHP0385 | 02/28/2025 | Book |