Apple once led the pack with its intelligent assistant Siri, but in just a few years, Amazon, Microsoft and Google have chipped away at its lead. Siri is a critical component of Apple’s vision for the ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

It would be a gross oversimplification—and a great disservice to the profession—to consider the next generation of KM solely in terms of new breakthrough technologies. Autonomous agents, language ...

We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.

Researchers call this context rot: as an AI system processes more information, irrelevant details clutter its working memory. The result can be less accurate responses, higher costs, and a gradual ...

Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...