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...

On social media, toxic speech can spread like wildfire, targeting individuals and marginalized groups. While explicit hate is relatively easy to flag, implicit toxicity – which relies on stereotypes and coded language rather than overt slurs – poses a trickier...

In the rapidly evolving field of artificial intelligence, the launch of Databricks’ DBRX marks a significant milestone. With a staggering investment of $10 million, Databricks has introduced an open-source generative AI model designed to rival the capabilities of the...