In the current visually-driven world, combining text and imagery offers a unique way to explore and document various subjects. Our project focuses on this intersection, specifically on the…
The increased adoption of machine learning (ML) for complex problem-solving and decision-making demands ever-increasing computational resources. The development of recent Large Language Models GPT-…
With the extension concepts of parallel computing, natural parallelism can be further blended into the realm of machine learning. This project specifically focuses on accelerating softmax regression…
In data science, Principal Component Analysis (PCA) is a popular technique to reduce the dimension of a dataset. Picture this: data can sometimes be overwhelming with its many dimensions, much like a…