SKU/Artículo: AMZ-B0FFK7NRL3

Knowledge Graphs for AI Agents : A Developer's Guide to Semantic AI Systems

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Fuera de stock

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0.33 kg

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Amazon

Sobre este producto

Fundamentals of Knowledge Graphs: Understand nodes, edges, ontologies, and semantic relationships.
AI Agent Models and Architectures: Explore agent design patterns and communication protocols.
Semantic Data Modeling: Learn ontology engineering and handling ambiguity.
Graph Construction Pipelines: Master entity recognition, data integration, and quality assurance.
Graph Storage and Querying: Compare databases, optimize indexing, and write efficient queries with SPARQL, Cypher, and Gremlin.
Reasoning and Inference: Apply logic, rule-based engines, and probabilistic reasoning.
Integration with AI Agents: Architect knowledge graph-backed agents and real-time update patterns.
Leveraging Large Language Models: Combine structured knowledge with generative AI.
Multi-Agent Systems: Enable knowledge sharing and coordinated decision-making.
Maintenance and Ethics: Manage graph evolution, security, privacy, and ethical AI.
Deployment and Applications: Learn cloud deployment, monitoring, and future research trends.

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Knowledge Graphs for AI Agents : A Developer's Guide to Semantic AI Systems

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