Martian
Summary
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8 slides
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Introducing Martian, the model router designed to dynamically route every prompt to the best large language model (LLM).
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The number of LLMs is exploding and companies struggle to determine which models to use for various purposes. Performance and cost vary significantly among LLMs, creating a need for optimization in high-volume Generative AI applications.
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We address this by dynamically routing every prompt to the best LLM based on expected performance and cost. Our approach allows for efficient use of various LLMs by understanding their strengths.
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Current routing methods are either inaccurate, costly, or not scalable. Traditional methods like classification and re-ranking fall short in optimizing performance and cost, driving the need for an advanced solution.
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We achieve effective model routing through model mapping, a new interpretability technique that helps us understand how transformers work. This understanding allows us to route more effectively.
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With this understanding, businesses can achieve better performance, cost-efficiency, and scalability. Our model router outperforms GPT-4 in many tasks and adapts easily to new model releases.
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This deep understanding of AI allows us to build entirely new and powerful AI tools. The model router is just the beginning; we envision creating an array of tools that can optimize and understand AI models more deeply, adding value to the entire AI infrastructure.
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Martian—optimizing AI performance and cost by dynamically routing every prompt to the best LLM. Join us in revolutionizing AI utility. Visit us at withmartian.com.