Large Language Model (LLM) agents often need to interact with and validate data. Great Expectations is a powerful open-source tool for data quality, but it's not natively accessible to LLM agents.

Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) ...

Abstract: Edge caching is a critical application scenario in edge networks. By storing diverse files on edge servers and dynamically fetching new files from the cloud, edge networks can provide ...

MCP (Model Context Protocol) is an emerging standard for AI tools and resources. The standard is compatible with normal REST API servers, but adds extra metadata to describe tools, resources, and ...

Abstract: As a distributed machine learning method, federated learning (FL) can collaboratively train a global model with multiple devices without sharing the original data, thus protecting certain ...