Beyond Feature Stores: Data for AI in Real-time, Batch, and LLMs
We will explore the journey from traditional Feature Stores to a more comprehensive framework that integrates these diverse data types.
We will explore the journey from traditional Feature Stores to a more comprehensive framework that integrates these diverse data types.
The evolving AI landscape demands a broader approach to data management, encompassing real-time, batch, and LLMs. In this short introduction, we will explore the journey from traditional Feature Stores to a more comprehensive framework that integrates these diverse data types. We’ll discuss how to leverage Feature Stores in conjunction with real-time data streams and LLMs to build more powerful and flexible AI systems.
