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: In the paper two general methods have substantiated, from which all known recursive methods for synthesis of complementary pairs of phase manipulated (PM) signals follow as particular cases.

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 ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Good programmers need to create code that efficiently solves problems, using various methods. A ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Given Shout’s business plan, it seems likely they will mount a new special edition Blu-ray of ...

The Care Bear Method is a popular trend that everyone is talking about on TikTok. Some people recommend you “ghost” all social media accounts to get the attention of the person you’re attracted to ...