How can we further increase the accuracy of LLM-powered question answering systems? Ontologies to the rescue!
That is the conclusion of the latest research coming from the @datadotworld AI Lab with @WorkingOntology
Paper: https://t.co/FrmVmyrnA9
π§΅ describing the results
βWe need to surround non-deterministic models with strong, deterministic system design, human controls, and reliable operating procedures, and establish industry standards where existing ones are insufficient.β No sh** sherlock.
Sometimes we need to state the obvious over and over again.
@wohnjalker@linkedktk Yup!!! Applications come and go. And will now more and more. The data, knowledge and the workflows/decision process is what sticks.
Building the ontology editor I've always wanted: conversational, understands modeling decisions, proposes changes, visualizes the ontology. Very light, browser based, no backend storage, export and import RDF.
Reply/dm me if you want to test this out. Just note that I did this on my phone and spent probably 1 hour on it. It's truly amazing what you can do with AI!
https://t.co/h0FOcHZvH1
Ontologies and knowledge graphs are now everywhere. Welcome to the club. Seriously! Many have been working on this for decades & were asked: βWhat is this even for?β
Iβm glad the hype arrived. Now please donβt ruin it. Understand when they help and not. And remember: βI donβt knowβ is a valid answer.