Search Results for author:
Found 2 papers, 0 papers with code
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion
Although numerous AKNN algorithms and benchmarks have been developed recently to evaluate their effectiveness, the dynamic nature of real-world data presents significant challenges that existing benchmarks fail to address.
Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]
Large Language Models (LLMs) have demonstrated extraordinary performance across a broad array of applications, from traditional language processing tasks to interpreting structured sequences like time-series data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
