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Browsing GitHub the other day, I came across a library I’d never heard of before. It was called NumExpr. I was immediately interested because of some claims made about the library. In particular, it stated that for some complex numerical calculations, it was up to 15 times faster than NumPy.  I was intrigued because, up […]

You might be wondering whether GenAI is just hype or external noise. I also thought this was hype, and I could sit this one out until the dust cleared. Oh, boy, was I wrong. GenAI has real-world applications. It also generates revenue for companies, so we expect companies to invest heavily in research. Every time

Introduction Transformers have changed the way artificial intelligence works, especially in understanding language and learning from data. At the core of these models are tensors (a generalized type of mathematical matrices that help process information) . As data moves through the different parts of a Transformer, these tensors are subject to different transformations that help

Evaluation is the cornerstone of any machine learning product. Investing in quality measurement delivers significant returns. Let’s explore the potential business benefits. As management consultant and writer Peter Drucker once said, “If you can’t measure it, you can’t improve it.” Building a robust evaluation system helps you identify areas for improvement and take meaningful actions

Introduction AWS is a popular cloud provider that enables the deployment and scaling of large applications. Mastering at least one cloud platform is an essential skill for software engineers and data scientists. Running an application locally is not enough to make it usable in production — it must be deployed on a server to become

In this article, I present my latest open-source project — Government Funding Graph. The inspiration for this project came from a desire to make better tooling for grant writing, namely to suggest research topics, funding bodies, research institutions, and researchers. I have made Innovate UK grant applications in the past, so I have had an interest in

Topic models are used in businesses to classify brand-related text datasets (such as product and site reviews, surveys, and social media comments) and to track how customer satisfaction metrics change over time. There is a myriad of recent topic models one can choose from: the widely used BERTopic by Maarten Grootendorst (2022), the recent FASTopic

Every NBA season, 30 teams compete for something only one will achieve: the legacy of a championship. From power rankings to trade deadline chaos and injuries, fans and analysts alike speculate endlessly about who will raise the Larry O’Brien Trophy. But what if we could go beyond the hot takes and predictions, and use data

The recent launch of the DeepSeek-R1 model sent ripples across the global AI community. It delivered breakthroughs on par with the reasoning models from Meta and OpenAI, achieving this in a fraction of the time and at a significantly lower cost. Beyond the headlines and online buzz, how can we assess the model’s reasoning abilities