with AI is an effective way of increasing coding speed. AI agents can handle a lot of the simple and repetitive tasks, while you can act as an orchestrator for your agents. A problem I often encounter, however, is that I have more context in my head than an AI agent could ever have. This …
Image by Author # Introduction Before jumping into the projects, let’s clear up what Docker is and why people care about it. Docker packages an application and everything it needs into a container. A container is a lightweight, isolated environment that runs the same way everywhere. No “works on my machine” problems. If it runs …
AI presents an opportunity to build a more prosperous and secure world. The UK has already laid a strong foundation to seize this moment and is uniquely positioned to translate AI innovation into public benefit. That’s why we are excited to deepen our collaboration with the UK government to accelerate this work and offer a …
I was working on a script the other day, and it was driving me nuts. It worked, sure, but it was just… slow. Really slow. I had that feeling that this could be so much faster if I could figure out where the hold-up was. My first thought was to start tweaking things. I could …
Think Your Python Code Is Slow? Stop Guessing and Start Measuring Read More »
Image by Author # Introduction OCR (Optical Character Recognition) models are gaining new recognition every day. I am seeing new open-source models pop up on Hugging Face that have crushed previous benchmarks, offering better, smarter, and smaller solutions. Gone are the days when uploading a PDF meant getting plain text with lots of issues. We …
Google 2025 recap: Research breakthroughs of the year
were first introduced for images, and for images they are often easy to understand. A filter slides over pixels and detects edges, shapes, or textures. You can read this article I wrote earlier to understand how CNNs work for images with Excel. For text, the idea is the same. Instead of pixels, we slide filters …
The Machine Learning “Advent Calendar” Day 23: CNN in Excel Read More »
Image by Author # Introduction The work of a data scientist is not just about collecting data points, but about building a connected web of knowledge from different sources. A simple notebook cannot help you see the patterns you are missing. The tools we use should augment our intelligence, not just archive it. The gap …
Gistr: The Smart AI Notebook for Organizing Knowledge Read More »
Announcing a new, open suite of tools for language model interpretability Large Language Models (LLMs) are capable of incredible feats of reasoning, yet their internal decision-making processes remain largely opaque. Should a system not behave as expected, a lack of visibility into its internal workings can make it difficult to pinpoint the exact reason for …
in some interesting conversations recently about designing LLM-based tools for end users, and one of the important product design questions that this brings up is “what do people know about AI?” This matters because, as any product designer will tell you, you need to understand the user in order to successfully build something for them …
Understanding the Generative AI User | Towards Data Science Read More »
