Trustworthy Language Model (TLM)
Cleanlab Chat provides a dependable language model (TLM) designed for high-precision Generative AI applications, ensuring reliability and trustworthiness.
About Trustworthy Language Model (TLM)
Cleanlab Chat integrates Cleanlab's Trustworthy Language Model (TLM) to address reliability challenges and hallucination issues in Generative AI. It offers more precise outputs than GPT-4, along with trustworthiness scores, enabling scalable applications such as text creation, data enrichment, and retrieval-augmented generation (RAG).
How to Use
Access Cleanlab’s Trustworthy Language Model directly through the Cleanlab Chat interface in your web browser. Use provided sample prompts to start tasks like text generation, data analysis, and compliance checks easily.
Features
- Provides trustworthiness scores for AI outputs
- Reduces hallucinations in generated content
- Utilizes a Trustworthy Language Model (TLM) for enhanced reliability
Use Cases
- Assess if content is suitable for retrieval-augmented generation (RAG)
- Create concise five-word executive summaries with risk evaluation
- Identify compliance violations such as HIPAA, GDPR, or FERPA in text
- Determine whether to escalate customer inquiries to human agents
- Extract all company and institution names from documents
- Detect hallucinations in RAG-generated responses
- Identify knowledge gaps within RAG databases
Best For
Data scientistsBusiness analystsDevelopers creating LLM applicationsCompliance officersAI researchersMachine learning engineers
Pros
- Delivers more accurate results than GPT-4
- User-friendly interface for easy access
- Addresses reliability and hallucination challenges in Generative AI
- Supports scalable, trustworthy AI applications
- Includes trustworthiness scoring system
Cons
- Limited details on specific model architecture
- Full features may require API access (see API documentation)
- Trustworthiness depends on context and interpretation
FAQs
What main issues does Cleanlab Chat address?
It tackles reliability and hallucination problems in deploying Generative AI models.
How does Cleanlab Chat compare to GPT-4 in accuracy?
It provides more precise outputs with added trustworthiness scores than GPT-4.
What are the primary applications of Cleanlab Chat?
It supports reliable applications like text generation, data enrichment, and retrieval-augmented generation at scale.
Is Cleanlab Chat suitable for compliance-sensitive projects?
Yes, it helps identify compliance violations such as HIPAA, GDPR, and FERPA in textual data.
Do I need technical expertise to use Cleanlab Chat?
No, the platform offers an easy-to-use interface suitable for users with varying technical backgrounds.