Trustworthy Language Model (TLM)
Add trust to any LLM at scale.
Listed in categories:
DataArtificial IntelligenceDeveloper Tools
Description
Cleanlab Studio is an automated data quality and data-centric AI platform that turns unreliable data into reliable models and insights. It offers features like data curation, auto ML, model deployment, and diagnostics. The platform is designed to handle the entire data quality pipeline in a single framework for analytics and machine learning tasks.
How to use Trustworthy Language Model (TLM)?
To use Cleanlab Studio, simply upload your dataset and let the platform automatically improve data quality, train robust models, deploy models, and explore analytics summaries.
Core features of Trustworthy Language Model (TLM):
1️⃣
Data Curation
2️⃣
Auto ML
3️⃣
Model Deployment
4️⃣
Diagnostics
Why could be used Trustworthy Language Model (TLM)?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Improving dataset quality without coding | ✅ | |
| # 2 | Automatically training robust models | ✅ | |
| # 3 | Seamless model deployment | ✅ | |
Who developed Trustworthy Language Model (TLM)?
Cleanlab Inc. is a data-centric AI company founded by MIT instructors. The team includes Chief Executive Officer Curtis Northcutt, Chief Scientist Jonas Mueller, and Chief Technology Officer Anish Athalye, who have expertise in confident learning, AutoML, and data-centric AI.