 Название: AI Applications Made Easy: RAG, agents, and other GenAI solutions (MEAP v2)
Автор: Andrea De Mauro
Издательство: Manning Publications
Год: 2025
Страниц: 83
Язык: английский
Формат: pdf (true)
Размер: 33.1 MB
A fully illustrated guide to building generative AI apps!
In AI Applications Made Easy you’ll learn how to create your own AI applications from scratch using free low-code tools like Langflow and KNIME. This fully-illustrated book guides you step by step on your journey from AI user to AI maker.
In AI Applications Made Easy you'll:
Create AI applications from the ground up using low code tools
Build intelligent agents for complex reasoning tasks
Improve AI responses using Retrieval-Augmented Generation (RAG) with your own documents
Connect to external applications via APIs and Model Context Protocol (MCP)
Optimize and fine-tune AI applications
Generative AI applications can be complex to understand and create. This book strips away the low level geekery and shows you exactly how to build Q&A systems, agents, and other powerful AI applications using low code tools. Along the way, you’ll gain an intuition for how generative AI works, including core components like large language models, retrieval augmented generation, model context protocol, and more.
In traditional programming, you instruct a machine to perform certain steps in a specific order, forming a logical workflow that transforms your input into the desired output. These steps can be described through code, as the application’s behavior will be mainly deterministic. Such codification happens by means of a formal language whose specific syntax and semantics define the particular programming language, such as Python or C, that the programmer will use.
In GenAI programming, you have an additional element in the picture, the Large Language Model, or LLM. At some point in your workflow, you will pass through this “magic black box,” which takes text as input and generates text as output. As you design the workflow, you will have to learn how to craft the right text that goes as input to the LLM. Such a text is not written in a programming language but in natural languages, such as English or Italian, which humans naturally use to communicate. The LLM is a black box, so it does not matter how carefully you craft your prompt. You cannot be 100% sure of what exact output you will get in return. The black box brings inherent randomness into the GenAI application’s behavior.
about the book
AI Applications Made Easy is written for everyone. Following engaging illustrations and step-by-step guidance, you'll start creating AI applications from the very first chapters. Use prompt engineering to create a healthy recipe generator, use RAG to build automated customer support chatbots, craft marketing assistants that know brand guidelines, and even design a web-enabled financial researcher—all using free low-code tools like Langflow and KNIME.
about the reader
For readers of all levels who want to create AI applications.
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AI Applications Made Easy: RAG, agents, and other GenAI solutions (MEAP v2) 
