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Prompt engineering for generative AI : future-proof inputs for reliable AI outputs at scale / James Phoenix and Mike Taylor.
Material type:
TextPublisher: Sebastopol, CA : O'Reilly, 2024Edition: First editionDescription: xvii, 401 pages : illustrations ; 24 cmContent type: - text
- still image
- unmediated
- volume
- 9781098153434
- 109815343X
- 006.3'5 23
- QA76.9.N38 P463 2024
| Item type | Current library | Collection | Call number | Status | Barcode | |
|---|---|---|---|---|---|---|
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Zayed Military University General Stacks | General Collection | QA76.9.N38 P463 2024 (Browse shelf(Opens below)) | Available | 1000107 |
Total holds: 0
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| QA76.9.M35 D57 2024 Discrete mathematics for computer science / | QA76.9.M35 S28 2023 Mathematical foundation of computer science / | QA76.9.N38 N84 2024 Python for natural language processing : programming with NumPy, scikit-learn, Keras, and PyTorch / | QA76.9.N38 P463 2024 Prompt engineering for generative AI : future-proof inputs for reliable AI outputs at scale / | QA267 .S56 2013 Introduction to the theory of computation / | QA273 .T474 2023 A first course in probability for computer and data science / | QA276 .F76 2019 Introduction to statistics : an intuitive guide for analyzing data and unlocking discoveries / |
Includes index.
Specialized.
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