Master Knowledge Graphs for AI: Boost LLMs & Reduce Hallucinations
Focused View
2:09:33
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
More details
Course Overview
This expert-led course teaches you how to integrate knowledge graphs with LLMs to enhance consistency, reduce hallucinations, and handle time-sensitive data. Learn modeling, population, and querying techniques to supercharge your AI applications.
What You'll Learn
- Fundamentals of knowledge graphs and their role in LLMs
- How to model, populate, and version your graph effectively
- Query techniques and GraphML for real-world applications
Who This Is For
- AI developers integrating knowledge graphs with LLMs
- Data engineers building reliable AI data architectures
- Technical leads implementing fact verification systems
Key Benefits
- Reduce LLM hallucinations with structured knowledge
- Handle time-sensitive data more effectively
- Learn from Protege setup to deployment best practices
Curriculum Highlights
- Knowledge Graph Foundations for LLMs
- Graph Modeling & Population Techniques
- Deployment Architectures & Verification
Focused display
Category
- language english
- Training sessions 36
- duration 2:09:33
- English subtitles has
- Release Date 2025/05/22
