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 chatbot that leverages multiple language models simultaneously to provide exceptionally accurate and reliable responses. It's designed for situations when you need the highest level of precision and cannot afford misinformation.
Our chatbot is designed with a focus on:
- Unparalleled Accuracy: Leverage multiple AI models simultaneously for the most reliable responses
- Smart Aggregation: Intelligently combines responses from multiple LLMs to eliminate errors and hallucinations
- Model Comparison: View side-by-side responses to identify the most accurate information
- Intelligent Design: Seamlessly integrating multiple AI systems for optimal user experience
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.
- Superior Reliability: Cross-reference multiple AI perspectives to provide the most trustworthy information.
- 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.
