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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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Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference)
Unlock how natural language can lead to a new, advanced approach to coding.
Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference)
vare #: 117620533

Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference)

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vare #: 117620533

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Det som utmerker seg

Conversational Programming
Empowers developers to interactively code using natural language, significantly enhancing productivity and reducing cognitive load when tackling complex programming tasks.
Prompt Engineering Insights
Offers comprehensive guidance on crafting effective prompts, allowing users to leverage LLM capabilities effectively and achieve accurate outputs tailored to their specific coding needs.
Azure OpenAI Focus
Integrates seamlessly with Azure's ecosystem, providing developers with powerful tools and resources to utilize large language models in deployment, ensuring higher performance and scalability in applications.

Produkt detaljer

Shop Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference) online at a best price in NORGE. 0138280371
  • Use LLMs to build better business software applicationsAutonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming―with specific techniques for patterns and frameworks―unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. Artificial Intelligence expert Francesco Esposito helps you:Understand the history of large language models and conversational programmingApply prompting as a new way of codingLearn core prompting techniques and fundamental use-casesEngineer advanced prompts, including connecting LLMs to data and function calling to build reasoning enginesUse natural language in code to define workflows and orchestrate existing APIsMaster external LLM frameworksEvaluate responsible AI security, privacy, and accuracy concernsExplore the AI regulatory landscapeBuild and implement a personal assistantApply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge baseConstruct a conversational user interfaceFor IT Professionals and Consultants For software professionals, architects, lead developers, programmers, and Machine Learning enthusiastsFor anyone else interested in natural language processing or real-world applications of human-like language in software
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

Hvem passer produktet for?

Suitable For
  • Developers

    Software developers looking to enhance their skills in working with large language models for application integration.

  • Data Scientists

    Data scientists interested in advanced techniques for prompt engineering and conversational AI implementations.

  • AI Enthusiasts

    Individuals keen on exploring the capabilities of Azure OpenAI for innovative AI solutions and projects.

Not Suitable For
  • Beginners

    Individuals new to programming may find the content too advanced without prior knowledge of language models.

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  • Spørsmål: Er Programming Large Language Models with Azure Open tilgjengelig for nettbutikk i Norway?

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    Svar: Leveringstiden for det bestilte produktet ditt varierer i henhold til hva du har bestilt og fraktmetoden du har valgt.. Den estimerte leveringstiden er nevnt under utsjekkingsprosessen, så vær bekymringsløs mens du handler.

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.

Kundeanmeldelser og vurderinger

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Fordeler

  • 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

Ulemper

  • Some readers may find it a bit technical

Produktets prishistorikk

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NOK 583

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Funksjoner og fordeler

  • 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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