Martian

Martian is a company that aims to make AI tooling possible by turning transformers into programs, allowing for a better understanding of how they work. Their first tool, the model router, routes queries to the best language models in real-time, achieving higher performance and lower cost than individual providers. This tool is based on their approach of model mapping, which involves converting models into new formats while preserving important properties. By mapping models into larger ones or embedding them into vector spaces, they can gain insights and predict their performance without running them.

Key Features:

1. Model Router: The model router routes queries to the most suitable language model in real-time.

2. Higher Performance: Using a team of models in an application can achieve higher performance than any single language model alone.

3. Lower Cost: The model router offers cost savings by selecting more affordable models without sacrificing performance.

4. Outperforms GPT-4: On OpenAI's evaluation suite (openai/evals), the model router outperforms GPT-4 on 91.8% of tasks and reduces costs by 20% on average when optimizing for performance.

5. Model Mapping: Martian's approach involves mapping models into new formats while preserving important properties.

6. Understanding Models: Model mapping allows for a deeper understanding of how AI models operate by separating different functions within neurons and creating sparser and easier-to-understand models.

7. Embedding Models: Embedding models into vector spaces enables predicting their performance on specific prompts without running them.

8. Turning Transformers Into Programs: By mapping transformers into programs, developers can apply tools used for understanding code to understand AI models better.

Use Cases:

1. Efficient Routing Between Models: The model router can be used in applications where multiple language models are available to achieve optimal routing based on query requirements and improve overall system performance at reduced costs.

2. Cost Optimization with Performance Requirements: Companies looking to deploy AI models can use the model router to select the most cost-effective models that meet their performance requirements, resulting in significant cost savings.

3. Improved Model Understanding: Model mapping techniques can be applied to gain a deeper understanding of AI models, enabling researchers and developers to analyze and interpret their behavior more effectively.

Martian's model router is a groundbreaking tool that leverages model mapping techniques to achieve higher performance and lower costs in AI applications. By understanding how language models work through model mapping, Martian aims to build truly awesome AI tools. This is just the beginning of their journey towards creating powerful tools that will contribute to a better understanding of artificial intelligence and enable new types of AI infrastructure. With each breakthrough, they strive to bring us closer to fully comprehending AI and developing robust theories of intelligence.