· Xiaojing Yang · NLP and LLMs
Fine-Tuning Transformers
How pretrained language models are adapted to a task or domain with supervised data.
How pretrained language models are adapted to a task or domain with supervised data.
How to tune hyperparameters without confusing search effort with scientific evidence.
Hypothesis testing is a way to discipline claims, not a ritual for producing p-values.
Linear regression is more than a line: it is a model of signal, noise, assumptions, and explanation.
A practical map of LLM evaluation risks: hallucination, prompt sensitivity, bias, contamination, and brittle benchmarks.
MAP estimation shows how prior beliefs and observed evidence combine.