Not Diamond
AI meta-model router that intelligently selects the optimal large language model (LLM) for each query to maximize quality, reduce cost, and minimize latency.
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Product Overview
What is Not Diamond?
Not Diamond is an advanced AI routing platform that combines multiple large language models into a meta-model to dynamically select the best-suited LLM for any given input. It maximizes output quality by always calling the top-performing model on major benchmarks while enabling cost and latency tradeoffs through intelligent routing. Users can personalize routing with real-time feedback, train custom routers tailored to their datasets, and seamlessly integrate via Python, TypeScript, or REST APIs. Not Diamond operates as a recommendation engine rather than a proxy, allowing client-side LLM calls for enhanced data privacy and flexibility.
Key Features
Intelligent Model Routing
Automatically determines and calls the best LLM for each prompt using a meta-model trained on extensive evaluation data.
Cost and Latency Optimization
Enables configurable tradeoffs to leverage smaller, cheaper models without sacrificing output quality.
Custom Router Training
Allows users to upload evaluation datasets and quickly generate routers optimized for specific use cases.
Personalized Routing with Feedback
Adapts routing decisions in real-time based on individual user feedback to improve model selection.
Flexible Integration
Supports Python, TypeScript, and REST APIs for easy incorporation into diverse development environments.
Privacy-Focused Architecture
Not a proxy; all LLM requests are made client-side, supporting deployment on private infrastructure and fuzzy hashing for data security.
Use Cases
- Enhanced AI Application Development : Developers and startups can improve AI output quality and efficiency by dynamically selecting the best model per request.
- Cost-Effective AI Scaling : Businesses can reduce operational costs by routing simpler queries to cheaper models without quality loss.
- Custom AI Solutions : Organizations can train routers on their own datasets to tailor AI responses to their unique domain requirements.
- Personalized User Experiences : Platforms can adapt AI responses based on individual user preferences and feedback for more relevant interactions.
- Secure AI Integration : Enterprises can maintain data privacy by managing LLM calls client-side while benefiting from intelligent routing.
FAQs
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