Open datasheets framework
This framework aims to assist in the documentation of datasets to promote transparency and help dataset creators and consumers make informed decisions. You can read more about it in our paper: Open Datasheets: Machine-readable Documentation for…
Demonstration of EmFORE: Learning Email Folder Classification Rules by Example (AAAI 2024 Demo)
Demonstration of EmFORE: Learning Email Folder Classification Rules by Example (AAAI 2024 Demo)
Introducing Garnet – an open-source, next-generation, faster cache-store for accelerating applications and services
Garnet is a cache-store system that addresses growing demand for data storage to support interactive web applications and services. Offering several advantages over legacy cache-stores, Garnet is now available as an open-source download.
Garnet
A high-performance, extensible, and low-latency remote cache-store from Microsoft Research Garnet is a research project from Microsoft Research. It is a remote cache-store designed to offer high performance, extensibility, and low latency. Garnet is thread-scalable within…
Improving LLM understanding of structured data and exploring advanced prompting methods
Structural Understanding Capabilities is a new benchmark for evaluating and improving LLM comprehension of structured table data. This advance can help LLMs process and analyze data more effectively, broadening their applicability in real-world tasks.