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.

If you liked this story, share it with other people. The conservation field is facing a radical new reality: accelerating ecological decline, shrinking civic space, and shifting political and ...

A high-performance Python package implementing the Quasi-Steady State (QSS) method for solving stiff ordinary differential equations, with particular focus on combustion chemistry applications. This ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

As Wednesday Season 2 approaches its premiere date on Netflix’s 2025 schedule, I assumed Jenna Ortega would be bringing the Wednesday Addams fashion back in full force. And she has. However, her ...

This repository provides examples and code samples demonstrating AI agent patterns, frameworks, and integration techniques using Python. It covers various frameworks for building, deploying, and using ...

The acquisition method records company buyouts, merging assets and liabilities. It includes all costs incurred, integrating them into financial statements. Investors analyze these reports to assess ...