Accessing and utilizing computer capabilities efficiently is crucial in today’s fast-paced digital world. However, many existing solutions have limitations, such as restricted internet access, limited pre-installed packages, and strict runtime constraints. These...

Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. With such widespread adoption, feeling left out of this revolution is not uncommon....

In machine learning, one method that has consistently demonstrated its worth across various applications is the Support Vector Machine (SVM). Known for its adeptness at parsing through high-dimensional spaces, SVM is designed to draw an optimal dividing line,  or...

Symmetry is a fundamental characteristic where an object remains unchanged under certain transformations and is a key inductive bias that enhances model performance and efficiency. Therefore, understanding and leveraging the concept of symmetry has emerged as a...

Language models’ evolution is shifting from Large Language Models (LLMs) to the era of Small Language Models (SLMs). At the core of both LLMs and SLMs lies the power of transformers, which are the building blocks of LLMs and SLMs. While transformers have proven their...

In a new AI research paper, a team of researchers from Stanford Law School has investigated biases present in state-of-the-art large language models (LLMs), including GPT-4, focusing particularly on disparities related to race and gender. It highlights the potential...