Role in this project:
ML Engineer Contributions:24 commits, 44 pushes, 1 branch in 3 months
Contributions summary:Alex made multiple commits focused on training and improving deep learning models for text correction. These commits involved experimenting with model architectures, such as adding dropouts and replacements, and refining training parameters. The user also worked on incorporating n-gram models to improve the decoding process and implemented evaluations to measure model accuracy.