Use LLMs to build better business software applications. Autonomously 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. For software architects, lead developers, and individuals with a background in programming–particularly those familiar with languages like Python and possibly C# (for ASP.NET Core)–will find the content in this book accessible and valuable. In the vast realm of software professionals who might find the book useful, I’d call out those who have an interest in ML, especially in the context of LLMs.

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

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