Recent advances in AI, particularly generative large language models, enhance scientific research by improving efficiency and reducing costs. Key applications include AI-augmented annotations, AI-assisted programming, content-based file management, grammar correction, and brainstorming ideas. Tools like Label Studio, GitHub Copilot, Riffo, and BotAI are recommended for various tasks in the research pipeline.

Thomas S. Kuhn wrote that scientific progress involves both minor revisions during normal periods and major revolutions during abnormal periods. Recently, abnormal advances in artificial intelligence are approaching a potentially disruptive stage, as evidenced by the widespread recognition of GPT-4, the most advanced and astonishing language model. Nonetheless, the model elicits both satisfaction and contentious debate for its ramifications, wherein Chromesky’s assertions are both correct and wrong.

LaTeX-OCR is a well-known, open-source, and free OCR recognition tool that is widely used as an alternative to Mathpix. However, due to compatibility issues with cross-platform modules such as pytorch and qt, installing this tool on an arm64 host requires certain operations.

We used logistic regression and random forest to predict user behaviors on a Chinese social network, Weibo.

In this project, I was trying to be a normal user in a headless browser, intended to get translated texts from DeepL’s models.

Three great materials I found on TDS(TowardDataScience.com) and the City of Statistics today.

This project uses several machine learning models to predict reservation cancellation. Among them, DART in LightGBM beats other competitors with highest testing accuracy (table) and also other metrics.