Managing (Agentic) Expectations: A Case Study in Memory Management
Understanding and working with AI agents is going to be one of the most transformative technological shifts in human history. As humans, we have a long tradition of anthropomorphizing the world around us, projecting human-like qualities onto deities, animals, weather, and even social constructs. Historically, this has often been a flawed exercise, as it imposes […]
You don’t know Jacc(ard)
I’ve been thinking lately about one of my go-to data science tools, something we use quite a bit at Aampe: the Jaccard index. It’s a similarity metric that you compute by taking the size of the intersection of two sets and dividing it by the size of the union of two sets. In essence, it’s […]
Using graph theory for missing data
Has this ever happened to you? You’re working with time series data, and you’ve got a bunch of unpredictable gaps. Maybe there were some unforeseen dropouts in monitoring; maybe your measurement instrument was shorting out. In some cases, you can just ignore those missing timepoints, but sometimes you need to find another way to account […]