Geospatial technology, markets, and practice
I’ve written before about image similarity with pgvector and the usefulness of embeddings in geospatial workflows. The ability to represent observations as vectors gives us another way to search and compare data. With Earth observation embeddings, that comparison becomes geographic. I can start with a place and look for other places with similar characteristics. Ai2’s … Continue reading Exploring OlmoEarth Embeddings
I have no problem with vibe coding. Yes, you can make bad code with it, and quite easily. The worst way to vibe code is to issue a monolithic prompt like "Build a word processor with the features of Microsoft Word." But using techniques like chain-of-thought or plan-and-solve prompting in an iterative manner can yield … Continue reading Vibing Adjacencies
The time since I've last posted has been quite busy. I've completely recovered from my previous eye issues and have been able to start traveling again. In fact, I'm writing this post from a hotel room. In addition to my consulting work at Cercana, I took on a role as the CTO of Photometrics AI, … Continue reading Geospatial, AI/ML, and Infrastructure
I recently had a project requirement to export the contents of a delta table in Databricks to several formats, including shapefile and file geodatabase, with the output being placed in object storage mounted to DBFS. I set up the logic in a notebook, with the intent to use geopandas, which provides an easy wrapper around … Continue reading Exporting Data with GeoPandas in Databricks
I had a project over the summer that required me to do a deep dive into various concepts around AI. Approximately 200 academic papers later, I came away with a laundry list of things I wanted to try. I am primarily interested in the capabilities of LLMs, but I am not particularly interested in the … Continue reading Experimenting with RAG Using ChatGPT and DuckDuckGo