Does Kumo handle natural language processing (NLP)?
Kumo supports NLP-powered text understanding through its implementation of GNNs; traditional language models encode common-sense knowledge implicitly during pre-training, but this representation is not robust or reliable. Graph representations can bring language and knowledge together in a shared semantic space, as GNNs build knowledge graphs that can explicitly teach common-sense relationships, which allow language models to generalize relationships to a broader set of implicitly encoded concepts. For example, combining language models with a knowledge graph provides enhanced reasoning and deeper context understanding for Question-Answering applications.
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Updated 5 months ago