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What is Cleanlab Chat?
Cleanlab Chat features Cleanlab’s Trustworthy Language Model (TLM), designed to solve reliability and hallucination issues in GenAI production. It aims to provide more accurate outputs than GPT-4, along with trustworthiness scores. It enables reliable LLM applications like text generation, data enrichment, and RAG at scale.
How to use Cleanlab Chat?
Users can try out Cleanlab’s Trustworthy Language Model (TLM) directly in their browser via the Cleanlab Chat interface. Sample prompts are provided to help users get started with various tasks.
Cleanlab Chat’s Core Features
Trustworthy Language Model (TLM) Hallucination reduction Trustworthiness scores for outputs
Cleanlab Chat’s Use Cases
- Detect HIPAA/GDPR/FERPA compliance violations in text
- Generate concise five-word executive summaries with risk assessment
- Extract and list all company and institution names from documents
- Determine if context is good for RAG use case
- Decide whether to escalate a customer’s request to a human agent
- Identify if a RAG response is a hallucination
- Determine if there is a knowledge gap in a RAG database
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