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 ...

Abstract: DC microgrids (MGs) have emerged as an alternative interconnection method for DC-type loads and distributed energy resources (DERs). Owing to the vulnerability of grid-connected converters ...

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 ...

ABSTRACT: Microservices have revolutionized traditional software architecture. While monolithic designs continue to be common, particularly in legacy applications, there is a growing trend towards the ...

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 ...

Properties and methods make Java classes interesting. Properties represent the data an object possesses, while methods enable the intelligent manipulation of that data. However, to perform any ...

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 ...