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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.

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⭐ Core features & benefits

Lilac offers a variety of features and benefits that make it a top choice for a variety of use cases. These are some of the key features:

  • ✔ī¸ Data curation
  • ✔ī¸ Dataset exploration
  • ✔ī¸ Text annotation
  • ✔ī¸ Semantic keyword search
  • ✔ī¸ Bulk labeling

⚙ī¸ Use case ideas for Lilac

  1. Curating and refining datasets for machine learning models.
  2. Annotating and structuring data for NLP tasks.
  3. Performing semantic searches and clustering on large datasets.

🙋‍♂ī¸ Users who use this tool

Lilac is used by many user groups, including but not limited to some of the following:

Data scientists
Machine learning engineers
Ai researchers
Data analysts

ℹī¸ Find more

In summary Lilac is an AI tool for curating and fine-tuning datasets. It offers dataset exploration, annotation, data structure, semantic search, clustering, and deduplication. It supports bulk labeling and semantic keyword searches. Lilac is compatible with Hugging Face Spaces and can be integrated with different data stacks.

Lilac provides programmatic access via an API which makes it easy to use it in your own applications or integrate it with other tools.

You can also find more information,get support and follow Lilac on:

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