What is Lilac?
Lilac is a comprehensive data platform designed specifically for Large Language Model (LLM) datasets. The platform provides powerful tools for data exploration, quality control, and dataset management, capable of processing and clustering up to 1 million data points in just 20 minutes and embedding datasets at impressive speeds of half a billion tokens per minute.
The platform stands out for its efficient dataset computations and advanced features including semantic search, clustering, field editing, and automated detection of PII, duplicates, and language. It serves as a critical tool for organizations seeking to improve their data quality evaluation pipeline and understand complex dataset concepts.
Features
- High-Speed Processing: Cluster and title 1 million data points in 20 minutes
- Token Processing: Embed datasets at half a billion tokens per minute
- Semantic Search: Advanced keyword and concept-based search capabilities
- Automated Detection: PII, duplicates, and language detection functionality
- Dataset Management: Edit and compare fields across datasets
- Clustering Analysis: Advanced clustering capabilities with automated titling
Use Cases
- Dataset quality evaluation
- Large-scale data processing
- Data exploration and analysis
- Organization-wide data democratization
- LLM dataset preparation
- Data quality control
FAQs
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How fast can Lilac process large datasets?
Lilac can cluster and title 1 million data points in 20 minutes and embed datasets at half a billion tokens per minute. -
How do I install Lilac?
Lilac can be installed using pip with the command: pip install lilac
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Lilac Uptime Monitor
Average Uptime
99.86%
Average Response Time
167.67 ms
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