What is Lilac?
Lilac is an AI tool that helps curate data for fine-tuning datasets.It can be used through its open-source LLMS UI or Python API.Lilac allows you to explore datasets, annotate and structure data (such as detecting PII, profanity, and text statistics), perform semantic and conceptual searches, cluster data, and deduplicate labeling.
You can also curate data through bulk labeling and perform semantic keyword searches on large datasets.Lilac is compatible with Hugging Face Spaces and offers features such as deploying Hugging Face Spaces, using environment variables, and more.
It is suitable for businesses with specific data needs and can be integrated with various data stacks.Lilac provides documentation, a web demo, and a contact for support.
â Key features
Lilac core features and benefits include the following:
- âī¸ Data curation.
- âī¸ Dataset exploration.
- âī¸ Text annotation.
- âī¸ Semantic keyword search.
- âī¸ Bulk labeling.
âī¸ Use cases & applications
- âī¸ Curating and refining datasets for machine learning models.
- âī¸ Annotating and structuring data for NLP tasks.
- âī¸ Performing semantic searches and clustering on large datasets.
đââī¸ Who is it for?
Lilac can be useful for the following user groups:
âšī¸ Find more & support
Lilac provides an API that developers can use for programmatic access which makes it easy to integrate it with other tools or within your own applications.
You can also find more information, get support and follow Lilac updates on the following channels:
- Lilac Website (Login/Sign up)
- Discord
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