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: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Java Scanner class provides methods that take String input and convert that String into any ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Here are the most important concepts developers must know when they size Java arrays and deal ...

A new JavaScript obfuscation method utilizing invisible Unicode characters to represent binary values is being actively abused in phishing attacks targeting affiliates of an American political action ...

Anna Baluch is a freelance writer from Cleveland, Ohio. She enjoys writing about a variety of health and personal finance topics. When she's away from her laptop, she can be found working out, trying ...

Generics make your code more flexible and easier to read, and they help you avoid ClassCastExceptions at runtime. Get started with this introduction to using generics with the Java Collections ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

One effective method to improve the reasoning skills of LLMs is to employ supervised fine-tuning (SFT) with chain-of-thought (CoT) annotations. However, this approach has limitations in terms of ...