In this hands-on masterclass, RelationalAI (RAI) shows how to use Knowledge Graphs and Massive Language Models (MLMs) with examples from RelationalAI’s Rel language.

RAI also previews several other interesting tasks that use MLMs, such as semantic search and automatic labeling of features with concepts from an ontology. This combination of the formal and informal is the future of AI.

Jupyter Python notebooks were made available before the class showing how to do (a) through (d) above with OpenAI’s GPT3.5/ChatGPT models.

Participants wishing to run the code during class will need their own accounts on OpenAI. Examples will be demonstrated in real use cases.

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Discover the forefront of knowledge graph advancements at the Knowledge Graph Conference 2024 (KGC 2024), held from May 6-10, 2024, at Cornell Tech in New York City and virtually.

Register now for early bird prices 👉 https://events.knowledgegraph.tech/ev....

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