· Xiaojing Yang · Applied ML Systems
LoRA vs Full Fine-Tuning: What Do We Actually Save?
A practical comparison of LoRA and full fine-tuning in low-resource domain MT: parameters, compute, stability, performance, and trade-offs.
Applied ML Systems
- · Xiaojing Yang · Applied ML Systems
Applied ML Systems: From Data to Demo
An applied ML note on turning messy data into pipelines, models, evaluation reports, and usable demos.