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 ...

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 ...

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.

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 ...

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 ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

Discover the untapped potential of Schema Markup. Learn how to build a content knowledge graph to enhance your website's visibility. You probably know Schema Markup for its ability to help pages ...

The latest trends in software development from the Computer Weekly Application Developer Network. The original title in full for this piece is: From Better Reasoning to Faster QFS, An LLM Just Can’t ...