A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...

I’ve been a teacher since 1992. When I went to college, I was taught that children would learn to read naturally if we simply surrounded them with books. My training emphasized "whole language," ...

Python is widely used for apps, automation, and web development. Before running scripts, it’s important to confirm which version is installed on your Windows PC. This usually means Python is not added ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

Our team researched more than two dozen of the country’s most popular personal lenders, including large online companies like SoFi, big banks like Wells Fargo, and peer-to-peer lenders like Upstart.