Lilac
Open-source tool for data and AI practitioners to improve data quality for LLMs.
Open-source tool for data and AI practitioners to improve data quality for LLMs.
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Lilac Introduction
What is Lilac?
Lilac is an open-source tool that enables data and AI practitioners to improve their products by improving their data. It allows users to search, quantify, and edit data for LLMs. Lilac provides features like semantic and keyword search, editing and comparing fields, PII detection, duplicate identification, language detection, custom signal integration, and fuzzy-concept search with refinement.
How to use Lilac?
To get started with Lilac, install it using pip: `pip install lilac`. Then, use the Python User Interface to interact with your data.
Why Choose Lilac?
Choose this if you're serious about improving your LLM data quality without fuss. Lilac makes it super easy to search, edit, and clean your datasets with smart features like PII detection and fuzzy search. It's blazing fast and perfect for anyone wanting to get their data game on point.
Lilac Features
AI Text Classifier
- ✓Semantic & keyword search
- ✓Edit & compare fields
- ✓PII, duplicates, language detection, or custom signal
- ✓Fuzzy-concept search with refinement
- ✓Blazing fast dataset computations
- ✓Clustering and titling of large datasets
- ✓Embedding datasets at high token rates
- ✓Accelerating data transformations
FAQ?
Pricing
Pricing information not available