Use LLMs to create better business software applications. Autonomy in user communication and optimization of business tasks with applications designed to make interaction between humans and computers smooth and natural.

Artificial Intelligence expert Francesco Esposito presents various scenarios for which an LLM is effective: creating complex business solutions, reducing the distance between people and machines equipped with software, and building strong reasoning machines.

Understanding the history of large language models and conversational programming, as well as applying prompting techniques for new programming approaches, reveals how natural language can lead to a new, advanced method of programming.

Practical and comprehensive demonstrations (using Python and ASP.NET Core) highlight the flexible interactions between processes, APIs, data, and human inputs.

Francesco Esposito helps readers to:

• Understand core prompting techniques and fundamental use cases.
• Prompt engineering, including linking LLMs with data and function calls to build reasoning machines.
• Use natural language in code to define workflows and orchestrate existing APIs.
• Evaluate concerns regarding security, privacy, and accuracy in responsible AI.
• Explore the regulatory landscape of AI.
• Implement a personal assistant.
• Apply a Retrieval-Augmented Generation (RAG) model for providing answers based on a knowledge base.
• Build a conversational user interface.

For IT Professionals and Consultants: For software professionals, architects, lead developers, programmers, and machine learning enthusiasts. For anyone else interested in natural language processing or real-world applications of human language in software.

Pages: 256, Dimensions: 19x19cm