{"product_id":"9780138280376","title":"Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs","description":"\u003cstrong\u003eUse LLMs to build better business software applications\u003c\/strong\u003e \u003cp\u003eAutonomously 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. \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eArtificial Intelligence expert Francesco Esposito helps you:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the history of large language models and conversational programming\u003c\/li\u003e \u003cli\u003eApply prompting as a new way of coding\u003c\/li\u003e \u003cli\u003eLearn core prompting techniques and fundamental use-cases\u003c\/li\u003e \u003cli\u003eEngineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines\u003c\/li\u003e \u003cli\u003eUse natural language in code to define workflows and orchestrate existing APIs\u003c\/li\u003e \u003cli\u003eMaster external LLM frameworks\u003c\/li\u003e \u003cli\u003eEvaluate responsible AI security, privacy, and accuracy concerns\u003c\/li\u003e \u003cli\u003eExplore the AI regulatory landscape\u003c\/li\u003e \u003cli\u003eBuild and implement a personal assistant\u003c\/li\u003e \u003cli\u003eApply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base\u003c\/li\u003e \u003cli\u003eConstruct a conversational user interface\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eFor IT Professionals and Consultants \u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eFor software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts\u003c\/li\u003e \u003cli\u003eFor anyone else interested in natural language processing or real-world applications of human-like language in software\u003c\/li\u003e \u003c\/ul\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":46232729125105,"sku":"9780138280376","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9780138280376_p0.jpg?v=1765262879","url":"https:\/\/shop.barnesandnoble.com\/products\/9780138280376","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}