make smart choices when it starts out knowing nothing and can only learn through trial and error? This is exactly what one of the simplest but most important models in reinforcement learning is all about: A multi-armed bandit is a simple model for learning by trial and error. Just like we do. We’ll explore why …
Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning Read More »
Image by Author | ChatGPT Introduction The explosion of generative AI has transformed how we think about artificial intelligence. What started with curiosity about GPT-3 has evolved into a business necessity, with companies across industries racing to integrate text generation, image creation, and code synthesis into their products and workflows. For developers and data …
hype surrounding AI, some ill-informed ideas about the nature of LLM intelligence are floating around, and I’d like to address some of these. I will provide sources—most of them preprints—and welcome your thoughts on the matter. Why do I think this topic matters? First, I feel we are creating a new intelligence that in many …
Image by Author | ChatGPT Introduction Python’s built-in datetime module can easily be considered the go-to library for handling date and time formatting and manipulation in the ecosystem. Most Python coders are familiar with creating datetime objects, formatting them into strings, and performing basic arithmetic. However, this powerful module, sometimes alongside related libraries such …
10 Surprising Things You Can Do with Python’s datetime Module Read More »
Parts 1 and 2 of this series focussed on the technical aspect of improving the experimentation process. This started with rethinking how code is created, stored and used, and ended with utilising large scale parallelization to cut down the time taken to run experiments. This article takes a step back from the implementation details and …
Reducing Time to Value for Data Science Projects: Part 3 Read More »
Image by Author | Canva Do you think only mathematicians and software engineers can work in AI? Well, you’re wrong if you do. Many people who are successful in data science and AI don’t have a tech background. So, yes, you can transition into AI even if you have started your career in, for example, …
5 Ways to Transition Into AI from a Non-Tech Background Read More »
As a developer working with machine learning models, you likely spend hours writing scripts and adjusting hyperparameters. But when it comes to sharing your work or letting others interact with your models, the gap between a Python script and a usable web app can feel enormous. Gradio is an open source Python library that lets …
Build Interactive Machine Learning Apps with Gradio Read More »
Image by Author | ChatGPT Introduction AI agents are autonomous software entities that perceive their environment, make decisions, and take actions to achieve specific goals. They are fundamental to modern artificial intelligence applications, ranging from chatbots to complex multi-agent systems. The Model Context Protocol (MCP) is an open standard designed for connecting AI models …
10 GitHub Repositories for Mastering Agents and MCPs Read More »
Join Nolan Fortman and Logan Kilpatrick for a conversation with Brett Adcock, CEO of Figure AI, a general purpose robotics company. We talk about how robotics are the ultimate deployment vector of AGI, the challenges of robotics, and the timeline until home robots hit mainstream.
want to be machine learning engineers. I get it. It’s a great job, with interesting work, great pay, and overall, it’s very cool. However, it’s definitely not a walk in the park to become one. In this article, I aim to offer my unfiltered and candid advice to aspiring machine learning engineers. This will be …
My Honest Advice for Aspiring Machine Learning Engineers Read More »
