HyperLLM
AI language model for efficient training and tuning
Lilac is an open-source tool that enables data and AI practitioners to improve their products by improving their data.
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| Produktwebsite | https://lilacml.com/ |
|---|---|
| Kategorie |
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Lilac is an open-source tool that enables data and AI practitioners to improve their products by improving their data.
To use Lilac, you can start by installing it with pip install lilac. Once installed, you can use the Python UI or command-line interface to search, quantify, edit, and compare data fields. Lilac also provides features such as clustering, semantic & keyword search, fuzzy-concept search, and detecting PII, duplicates, language, or custom signals.
#1 Data exploration and quality control #2 Selecting the right data for a task
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
What can Lilac help with? How do I install Lilac? What are the core features of Lilac?
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AI language model for efficient training and tuning
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Produktreferenz: Lilac — Produktwebsite.
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