Grammarly has developed an on-device AI approach to enhance speed and reliability in its grammatical error correction (GEC) model, optimizing it for local use without quality loss. Key challenges included memory management, computational efficiency, and cross-platform deployment, which were addressed by reducing the model’s memory footprint to under 1 GB and improving processing speeds to meet strict performance targets. A custom Rust-based SDK facilitates seamless deployment across multiple platforms, successfully delivering high-quality performance to millions of users and paving the way for future AI advancements.
https://www.grammarly.com/blog/engineering/on-device-models-scale/