I’m Xuanyu Chen, Applied Math & Statistics @ Purdue.

A personal budgeting web app that reverses the typical spending-then-tracking loop. Plan your budget first, then track transactions against the plan with live variance.

How LoRA works, how quantization reduces memory, and how QLoRA combines both for efficient fine-tuning.

How oil is priced through spot and futures markets, what moves oil prices, and what the spreads between benchmarks tell us about the market.

The fundamentals of fine-tuning a large language model — from data preparation and hyperparameters to the training loop and evaluation.

What is crude oil, what comes out of a barrel, who produces and consumes it, and how it moves around the world — the foundation for understanding oil prices.