Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

In previous lessons we rendered our model in orthographic projection by simply forgetting the z-coordinate. The goal for today is to learn how to draw in perspective: Why do we bother with matrices?

In complex networks, there often are groups of nodes that are better connected internally than to the rest of the network. In network science, these groups are referred to as communities. These ...

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Like ...

The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective field theory) presents a pedagogical introduction to projection-based, reduced-order emulators for applications ...

Shown are mean surface air temperatures from 2011 to 2021 as compared with baseline mean temperatures from 1956 to 1976. Adapted from the National Aeronautics and Space Administration Goddard ...

Architects, landscape architects, and planning professionals have been working with GIS data for many years to great success in Vectorworks’ BIM workflows. Much of this work has involved georeferenced ...