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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)
Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference)
artikal br.: 117620533

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

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artikal br.: 117620533

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Shop Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference) online at a best price in Serbia. 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

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