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Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference)
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Unlock how natural language can lead to a new, advanced approach to coding.
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What Stands Out
產品詳情
| Publisher | Microsoft Press |
| Publication date | 22 Mar. 2024 |
| Edition | 1st |
| Language | English |
| Print length | 256 pages |
| ISBN-10 | 0138280371 |
| ISBN-13 | 978-0138280376 |
| Item weight | 445 g |
| Dimensions | 18.75 x 1.14 x 23.19 cm |
| Part of series | Developer Reference |
Who Should Buy?
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Developers
Software developers looking to enhance their skills in working with large language models for application integration.
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Data Scientists
Data scientists interested in advanced techniques for prompt engineering and conversational AI implementations.
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AI Enthusiasts
Individuals keen on exploring the capabilities of Azure OpenAI for innovative AI solutions and projects.
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Beginners
Individuals new to programming may find the content too advanced without prior knowledge of language models.
產品敘述
Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference)
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Software Architecture Editorial Review
Programming Large Language Models With Azure Open AI: Conversational Programming And Prompt Engineering With LLMs (Developer Reference) is a comprehensive guide published by Microsoft Press, aimed at enhancing your understanding of LLMs. With 256 pages, it covers key aspects of conversational programming and prompt engineering, making it a valuable resource for developers engaging with Azure's AI capabilities. This first edition, released on 22 Mar. 2024, is written in English and provides essential insights for anyone looking to harness the power of large language models for their projects. Readers appreciate the clarity and practicality of the content, which makes complex concepts accessible and applicable.
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優點
- Contains clear and practical examples
- Suitable for both beginners and experienced developers
- Covers conversational programming techniques
- Focuses on prompt engineering strategies
- Well-organized chapters for easy navigation
缺點
- Some readers may find it a bit technical
Product Price History
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特色和優勢
- Tailored for software architects and lead developers familiar with Python and C#.
- Focus on leveraging Microsoft Azure services for natural language processing and LLMs.
- Illustrates techniques for crafting sophisticated business solutions with LLMs.
- Offers concrete demonstrations using Python and ASP.NET Core.
- Covers prompting and conversational programming as innovative coding methods.
- Addresses responsible AI practices including security, privacy, and accuracy.
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