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- Knowledge Graphs and LLMs in Action
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252768239
Knowledge Graphs and LLMs in Action
85% of respondents would recommend this to a friend
Nº de artículo:
252768239
BOB 590
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What Stands Out
Intelligent Insights
Integrates Knowledge Graphs with LLMs to provide contextual insights, enhancing information retrieval and decision-making processes for businesses and researchers.
Enhanced Relationships
Maps complex data relationships effectively, enabling users to uncover hidden connections and derive comprehensive understanding that surpasses traditional data analysis methods.
User-Friendly Interface
Designed with an intuitive interface, making it accessible for users of all skill levels, facilitating seamless interaction between Knowledge Graphs and LLMs.
Detalles de producto
- Data overload, disconnected context, and stalled machine learning results are common frustrations for data teams. Even with vast datasets and advanced models, insights remain elusive when information is scattered and relationships are unclear. What if you could structure your data in a way that gives it meaning, connects the dots, and powers smarter, faster learning? By building knowledge graphs that integrate with large language models, you can transform disconnected information into actionable, context-rich intelligence that drives real results.Iterative top-down modeling: Aligns every graph decision with clear business questions.Ontology and taxonomy starters: Jump-start graph design from your existing structured data.Python code walk-throughs: Let you replicate techniques on day one, no guesswork.GNN and BERT integration: Upgrade graphs with deep learning for smarter reasoning and predictions.Real healthcare and policing cases: Prove scalability on messy, high-stakes datasets.Knowledge Graphs and LLMs in Action by GraphAware scientists Dr. Alessandro Negro and colleagues delivers a code-rich softcover reference that unites cutting-edge research with field-tested engineering practice.Starting with business questions, you model ontologies, import varied sources, then iteratively expand your graph. Later chapters layer GNNs, transformers, and reasoning algorithms, showing complete pipelines on full-scale datasets.You will leave with repeatable workflows, reusable code, and the confidence to connect fragmented data into intelligent, context-aware applications. Stop guessing; start delivering measurable machine learning impact.
| Publisher | Manning Publications |
| Publication date | 1 Dec. 2025 |
| Edition | 1st |
| Language | English |
| Print length | 472 pages |
| ISBN-10 | 1633439895 |
| ISBN-13 | 978-1633439894 |
| Item weight | 509 g |
| Dimensions | 18.73 x 2.79 x 23.5 cm |
| Part of series | In Action |
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AI & Machine Learning Editorial Review
Knowledge Graphs And LLMs In Action is an insightful book published by Manning Publications on 1 Dec. 2025. This first edition explores the intersection of knowledge graphs and large language models, providing in-depth analysis and practical examples that are useful for both beginners and seasoned professionals. With a substantial print length of 472 pages, the book covers various applications of these technologies, making it a valuable resource for anyone aiming to deepen their understanding. Readers appreciate the clear explanations and real-world applications presented in the text, enhancing its educational value.
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ventajas
- In-depth exploration of knowledge graphs
- Clear explanations of complex topics
- Practical examples for real-world applications
- Well-structured content for easy understanding
- Suitable for both beginners and experts
Contras
- Might be challenging for complete beginners
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características y beneficios
- Build knowledge graphs that integrate with large language models.
- Align graph decisions with clear business questions for effective modeling.
- Utilize ontology and taxonomy starters for streamlined graph design.
- Follow Python code walk-throughs to replicate techniques quickly.
- Incorporate GNN and BERT for advanced reasoning and predictions.
- Receive proven insights from real-world healthcare and policing cases.
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