Model Reproducibility Challenges

Training models can be reproducible if randomization is managed consistently, but inherent noise in computations can introduce variability. Fine-tuning presents operational challenges, especially regarding GPU costs, leading to a shift towards a pay-per-inference model that eases the burden on users while maintaining access to customized models.