14min chapter

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Kurt Cagle: Staying on Top of Developments in AI – Episode 6

Content + AI

CHAPTER

Decoding Language Models and Knowledge Graphs

The chapter explores the inner workings of language models and knowledge graphs, emphasizing the intelligence encapsulated in these systems beyond probabilistic functions. It discusses the evolution of sequences of tokens in language models and the role of knowledge graph models in generating contextually relevant outputs. Additionally, it compares the utilization of vectors for similarity in high-dimensional spaces and the shift towards employing vectors for clustering in data architecture.

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