Trustworthy Language Model (TLM)

Cleanlab Chat's TLM addresses reliability and hallucination issues in GenAI production, offering more accurate outputs than GPT-4 and trustworthiness scores. It enables reliable LLM applications like text generation, data enrichment, and RAG at scale.

What is Trustworthy Language Model (TLM)?

Cleanlab Chat offers a trustworthy language model (TLM) designed to solve reliability and hallucination issues in GenAI production. It provides more accurate outputs than GPT-4 and includes trustworthiness scores, enabling reliable LLM applications like text generation, data enrichment, and RAG at scale.

Use Cases

• Detect compliance violations in text
• Generate concise executive summaries with risk assessment
• Extract company and institution names from documents
• Determine context suitability for RAG
• Escalate customer requests to human agents
• Identify hallucinations in RAG responses
• Detect knowledge gaps in RAG databases

Core Benefits

• Addresses reliability and hallucination issues
• Provides more accurate outputs than GPT-4
• Offers trustworthiness scores
• Enables reliable LLM applications at scale
• Easy-to-use interface

Key Features

• Trustworthy Language Model (TLM)
• Hallucination reduction
• Trustworthiness scores for outputs

How to Use

1. 1
   Access Cleanlab Chat via browser
2. 2
   Use provided sample prompts
3. 3
   Input text for analysis
4. 4
   Review trustworthiness scores
5. 5
   Implement recommended actions

Frequently Asked Questions

Pros & Cons (Reserved)

Alternatives