The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.

A comprehensive survey published May 23 in Intelligent Computing, a Science Partner Journal maps out the role of large ...

If you’re using a large language model (LLM) to develop a generative AI application, chances are pretty good that a vector database is somewhere in the mix. When it comes time to choose a vector ...

Cloudflare’s vector database, Vectorize, is now generally available, and as of August 2024 now supports indexes of up to five million vectors each, up from 200,000 previously.

Karan Alang, principal software engineer at Versa Networks with 25 years of experience in AI, cloud and big data. Read Karan Alang's full executive profile here.

Vector databases allow large language models, the AI models that chatbots are built on, to remember context and relationships over time, giving them a memory.

This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Automate model quality and performance testing Once there’s a test data set, development teams should consider several testing approaches depending on quality goals, risks, and cost considerations.