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Open-source data curation for LLM fine-tuning and evaluation
Updated
Argilla is an open-source collaboration platform for AI engineers and domain experts to build high-quality datasets. It targets language model fine-tuning, RLHF and evaluation, and it has joined Hugging Face.
Engineers create datasets through the API, and domain experts review and label records in the web interface. Automation handles routine steps so curated data moves from prototype to production.
Research institutions, data science teams and AI engineers curating NLP datasets. A public demo is available and a Discord community supports practitioners.
Argilla is open source and the vendor homepage lists no paid plans. It now sits within Hugging Face, so hosted options follow Hugging Face terms.
Segments.ai and CVAT are annotation tools, Toloka and Invisible Technologies provide human data services, and Lightly curates image data.
Pricing Model
OPEN SOURCE
Starting Price
$0/mo
Free Options
Free version
Other
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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Open-source image, video and 3D annotation tool, with cloud plans
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