1. Model Environmental Use Cases
Objective:
Translate raw video transcripts into well-defined environmental scenarios that can be represented and reasoned over using a graph model.
Key Actions
Define specific environmental scenarios
Clearly identify each use case (e.g., resource usage, environmental impact, decision-making processes).
Ensure alignment between the use case objectives, the dataset content, and the intended graph queries.
Align use cases with graph modeling goals
Determine what questions the graph should answer (e.g., cause-effect relationships, trends, stakeholders).
Explicitly document assumptions and boundaries of each scenario.
Adapt graph design to environmental context
Incorporate nodes, relationships, or attributes that reflect environmental implications, decisions, or outcomes.
Ensure the model captures both factual information and contextual dependencies from the transcript.
2. Construct the Graph and Triples
Objective:
Design and populate a graph st
Hands-On AI: Knowledge Graphs for Generative AI Use Cases
With Ashleigh Faith
Liked by 125 users
Duration: 2h 11m
Skill level: Advanced
Released: 9/25/2024
Course details
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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