Scaling and Continuous Access to Language Models: The OpenAI Case

OpenAI has outlined its approach to scaling access to Codex and Sora models, addressing the challenges associated with rate limits. The implemented solution combines rate limit management, usage tracking, and a credit-based system.

This system allows for continuous access to the models, while ensuring the stability and reliability of the service. Usage tracking allows for monitoring requests and allocating resources efficiently, while the credit system provides a flexible mechanism for managing demand and preventing abuse.

OpenAI's architecture aims to balance accessibility with the need to control the load on its systems, ensuring that users can benefit from the capabilities of Codex and Sora without compromising overall performance.