Not Diamond

What is Not Diamond?

Not Diamond is a highly specialized predictive model optimized for model routing, designed to enhance the performance of various language models (LLMs). It accurately predicts which LLM will perform best for any given input, allowing users to leverage the strengths of multiple models simultaneously. This capability is particularly beneficial for RAG (Retrieval-Augmented Generation) and agent workflows, where diverse and unseen prompts can be effectively managed.

With Not Diamond, users can expect a range of features that improve the overall efficiency and quality of their applications:

Seamless integration with existing data and evaluation pipelines.

Automatic prompt optimization frameworks to enhance model performance.

Inference speed under 100ms, ensuring minimal latency in model calls.

Cost reduction of up to 10x while improving accuracy by up to 25% compared to individual models.

Not Diamond Features

Not Diamond is a powerful tool designed to optimize the use of various language models (LLMs) by intelligently routing requests to the most suitable model for each specific query. This capability allows users to achieve superior performance, outperforming individual LLMs on accuracy by up to 25% while significantly reducing costs by up to 10 times. By leveraging a meta-model approach, Not Diamond combines the strengths of multiple LLMs, ensuring that users benefit from the best possible outcomes for their applications.

Key features and capabilities of Not Diamond include:

Automatic prompt optimization frameworks integration, such as DSPy and SAMMO.

Inference speed under 100ms, enabling rapid model calls.

Seamless integration with existing data and evaluation pipelines.

Deployment flexibility, allowing users to run Not Diamond directly on their infrastructure.

Highly specialized predictive model for optimal model routing based on input.

Why Not Diamond?

Not Diamond offers significant advantages by acting as a "meta-model," which combines the strengths of multiple powerful LLMs. This approach not only enhances the quality of outputs but also reduces costs and latency, making it a cost-effective solution for developers and enterprises alike.

By utilizing Not Diamond, users can experience the following benefits:

Improved accuracy by up to 25% compared to individual LLMs.

Cost reductions of up to 10x through intelligent model routing.

Fast inference speeds under 100ms, optimizing response times.

Seamless integration with existing data and evaluation pipelines.

Support for diverse workflows, including RAG and agent use cases.

How to Use Not Diamond

To get started with Not Diamond, you can deploy it directly to your infrastructure in less than 5 minutes. This quick setup allows you to leverage its powerful model routing capabilities right away, making it suitable for various use cases, including RAG and agent workflows.

Not Diamond supports multiple programming languages through its Python SDK, TypeScript client, and REST API, enabling seamless integration into your existing tech stack. Here are some key features to help you maximize your experience:

Automatic prompt optimization frameworks for enhanced performance.

Intelligent routing to select the best model for each query.

Fast inference speed under 100ms to minimize latency.

Ready to see what Not Diamond can do for you?[@portabletext/react] Unknown block type "span", specify a component for it in the `components.types` propand experience the benefits firsthand.