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Knowledge Graphs for Generative AI Use Cases

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  • 01 - The power of knowledge graphs.mp4
    00:44
  • 02 - What you should now.mp4
    01:37
  • 03 - Use case introduction Two Trees Olive Oil.mp4
    01:31
  • 01 - Why knowledge graphs in the LLM space.mp4
    02:46
  • 02 - What is a triple or statement.mp4
    02:04
  • 03 - Triple store or labeled property graph.mp4
    03:36
  • 04 - What is a node or instance.mp4
    03:54
  • 05 - What is an edge or relation.mp4
    02:21
  • 06 - What are UIDs.mp4
    02:54
  • 01 - What to keep in mind when graph modeling for LLMs.mp4
    01:54
  • 02 - How to connect nodes with relationships.mp4
    04:47
  • 03 - Desktop Protege IRI setup.mp4
    03:19
  • 04 - Adding instances and annotations.mp4
    05:09
  • 05 - How to populate a graph.mp4
    03:10
  • 06 - Adding a few constraints.mp4
    04:29
  • 07 - How to update your graph.mp4
    04:07
  • 08 - How to version your graph.mp4
    03:45
  • 01 - Populating your graph model.mp4
    00:42
  • 02 - What generative data can you use.mp4
    03:48
  • 03 - What closed data can you use.mp4
    10:01
  • 04 - What open data can you reuse.mp4
    09:48
  • 05 - Attribution and sourcing.mp4
    05:21
  • 06 - Checking your logic.mp4
    03:11
  • 01 - Queries in graph data.mp4
    02:42
  • 02 - GraphML What is it and what tools are there.mp4
    02:00
  • 03 - GraphML Walking your graph.mp4
    04:02
  • 01 - Data privacy, ethics, regulations, and standards.mp4
    02:54
  • 02 - Automated constraint verification.mp4
    03:47
  • 03 - Automated fact verification.mp4
    04:32
  • 04 - Disputed fact verification.mp4
    04:12
  • 05 - Entity resolution.mp4
    03:10
  • 06 - Sample architecture.mp4
    02:54
  • 07 - Calling your graph.mp4
    02:15
  • 01 - Final project introduction.mp4
    01:02
  • 02 - Final project walkthrough.mp4
    09:36
  • 03 - Continuing on with knowledge graphs.mp4
    01:29
  • Description


    Having a knowledge graph backing your LLM adds more consistency, trust, and quality to LLMs and the applications they support, and you don’t have to be an expert to begin using knowledge graphs. In this course, knowledge graph expert Ashleigh Faith covers what a knowledge graph is, the different types of knowledge graphs, and what each type is generally used for. Explore the foundations of modeling and populating a knowledge graph and architectures for supporting knowledge graphs. Learn how to query the knowledge graph and how LLMs can use knowledge graphs to support time-sensitive data and reduce hallucinations. Find out how to identify what kind of knowledge graph is best for a variety of knowledge graph use cases, as well as what architecture and tooling will best support your knowledge graph project. Plus, discover ways to construct and populate a knowledge graph and then use a knowledge graph in the LLM space.

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    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 36
    • duration 2:09:33
    • English subtitles has
    • Release Date 2025/01/22