Building AI Agents with LLMs, RAG, and Knowledge Graphs. A practical guide to autonomous and modern AI agents Salvatore Raieli, Gabriele Iuculano

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Autorzy:: Salvatore Raieli, Gabriele Iuculano
Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 560

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This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving.
Inside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together.
By the end of this book, you’ll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.

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O autorach książki

Salvatore Raieli is a Senior Data Scientist in a pharmaceutical company with a focus on using artificial intelligence for drug discovery against cancer. He has an MSc in Artificial Intelligence and a PhD in Immunology and has experience in building neural networks to solve complex problems with large datasets. He enjoys building artificial intelligence applications for concrete challenges that can lead to societal benefits. In his spare time, he writes in his popularization blog on artificial intelligence (Medium). Originally from Italy, he currently lives in France.

Gabriele Iuculano boasts extensive expertise in embedded systems and Artificial Intelligence. Leading a team as the Test Platform Lead, Gabriele has been instrumental in architecting a sophisticated simulation system that underpins a cutting-edge test automation platform. He is committed to integrating AI-driven solutions, focusing on predictive maintenance systems to anticipate needs and prevent downtimes. He obtained his MSc in AI from the University of Leeds, demonstrating expertise in leveraging AI for system efficiencies. Gabriele aims to revolutionize current business through the power of new disruptive technologies such as artificial intelligence.

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Szczegóły książki

Tytuł oryginału:: Building AI Agents with LLMs, RAG, and Knowledge Graphs. A practical guide to autonomous and modern AI agents
ISBN Ebooka:: 978-18-350-8038-2, 9781835080382
Data wydania ebooka :: 2025-05-23 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: angielski

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Kategorie:
Systemy operacyjne
Hardware » Elementy komputera
Sztuczna inteligencja

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Spis treści książki

1. Analyzing Text Data with Deep Learning
2. The Transformer: The Model Behind the Modern AI Revolution
3. Exploring LLMs as a Powerful AI Engine
4. Building a Web Scraping Agent with an LLM
5. Extending Your Agent with RAG to Prevent Hallucinations
6. Advanced RAG Techniques for Information Retrieval and Augmentation
7. Creating and Connecting a Knowledge Graph to an AI Agent
8. Reinforcement Learning and AI Agents
9. Creating Single- and Multi-Agent Systems
10. Building an AI Agent Application
11. The Future Ahead

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