Table of contents
Lilac: Enhance Data & AI Quality with Open-Source Tool
Lilac: The open-source tool that empowers data and AI practitioners to elevate product quality by enhancing their data. Transform your data, transform your AI!
Directory : Research Tool, AI Analytics Assistant, AI Knowledge Base, AI Knowledge Graph, AI Knowledge Management, Large Language Models (LLMs)
What is Lilac?
Lilac is an innovative open-source tool designed to assist data and AI professionals in enhancing the quality of their datasets and AI models through meticulous data refinement.
How to use Lilac?
Lilac's Core Features
Search, quantify, and edit data for LLMs
AI Clustering
Semantic & keyword search
Edit & compare fields
PII, duplicates, language detection, or custom signal
Fuzzy-concept search with refinement
Lilac's Use Cases
Data exploration and quality control
Selecting the right data for a task
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Lilac Discord
Join the Lilac community on Discord: https://discord.com/invite/jNzw9mC8pp. For more messages, please click here.
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Lilac Support Email & Customer Service Contact
For customer service, reach out via email: [email protected].
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Lilac Company
Company name: Lilac. Learn more about us on our About Us page.
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Lilac Twitter
Follow us on Twitter: https://twitter.com/lilac_ai
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Lilac Github
Access our GitHub repository: https://github.com/lilacai/lilac
FAQ from Lilac
What is Lilac?
Lilac is an open-source tool designed for data and AI professionals to enhance their datasets and improve AI quality through comprehensive data refinement.
How to use Lilac?
Install Lilac using pip with the command 'pip install lilac'. After installation, use its Python UI or command-line interface to search, quantify, edit, and compare data fields. Lilac also supports clustering, semantic and keyword searches, fuzzy-concept searches, and detection of PII, duplicates, languages, or custom signals.
What can Lilac help with?
Lilac aids in enhancing the quality of data and AI products by enabling efficient data search, quantification, editing, and comparison. Its features also include clustering, semantic and keyword searches, and the detection of PII, duplicates, languages, or custom signals.
How do I install Lilac?
Install Lilac by running 'pip install lilac'.
What are the core features of Lilac?
Lilac's core features include searching, quantifying, and editing data for LLMs, AI clustering, semantic and keyword search, editing and comparing fields, PII detection, duplicate detection, language detection, custom signal detection, and fuzzy-concept search with refinement.