We're excited to announce the beta release of narbl, our groundbreaking multi-LLM chatbot/fact checker designed for emergency verification when time is critical.
What is narbl?
narbl is an advanced multi-LLM fact checker that allows users to query multiple language models simultaneously through a "bring your own API key" approach. It's designed for emergency situations when you need to verify information quickly and cannot afford to lose time.
Our chatbot is designed with a focus on:
- Emergency Verification: Quickly check facts across multiple AI models when time is critical
- User Control: Choose which LLMs to query and which model to use for aggregating responses
- Privacy: Use your own API keys, maintaining control over your data
- Open-source: Making the code freely available for anyone to use, modify, and improve
Key Features
narbl offers several innovative features that set it apart from other chatbots:
- Multi-LLM Querying: Simultaneously send the same query to multiple language models of your choice.
- Response Aggregation: Compile and analyze responses from different LLMs using another model of your choice.
- Model Comparison: Easily compare how different language models respond to the same query to identify consensus or disagreement.
- Bring Your Own API Keys: Use your own API keys for various language models, maintaining control and privacy.
- Emergency Mode: Optimized for speed when verification is time-critical.
- Customizable: Easily adaptable to specific use cases and requirements.
Use Cases
narbl can be used in a variety of scenarios, including:
- Emergency Verification: Quickly verify critical information during emergencies when accuracy is essential and time is limited.
- Research Validation: Cross-check research findings across multiple AI models to ensure accuracy and identify potential biases.
- News Fact-Checking: Verify breaking news by comparing how different language models interpret and respond to the same information.
- Medical Information: Verify medical information from multiple sources when quick decisions are needed.
- Legal Research: Cross-reference legal interpretations from multiple AI perspectives.
- Academic Verification: Validate academic concepts and theories across different AI models.
