Lilac
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About
Lilac is a platform designed to improve data quality for AI applications by enabling users to search, quantify, and edit data specifically for large language models (LLMs). With features like fuzzy-concept search, PII detection, and the ability to cluster and title up to 1 million data points in just 20 minutes, Lilac helps accelerate data transformations effectively. It is designed to enhance the understanding of datasets and the selection of relevant data for various tasks, making it a crucial component in data quality evaluation pipelines. Some of its key offerings include semantic and keyword search, editing capabilities, and high-speed dataset computations, making it a versatile tool for organizations utilizing AI.
Platform
Task
Features
• search data for llms
• fast dataset computations
• fuzzy-concept search
• language detection
• duplicates removal
• pii detection
• semantic and keyword search
• clustering capabilities
• quantify and edit data
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