Embeddings

Last year I wrote about the superpowers text embeddings can give you and how I tried using them to compare the song lyrics of some music artists. Though the results failed to paint the picture I hoped for – this was due to the methodology, or rather lack thereof – it made me appreciate the importance of simple open source tools (OSS) in the currently booming AI/LLM space.

To get to the point of displaying the embedding projections in the blog post I had to jump through some hoops and combine a lot of different Go modules before I could finally generate the nice interactive plots from the computed data. This wasn’t ideal I knew even back then but I wrote a blog post on a whim trying to quickly prove a silly point to a friend of mine. So at the time, I made do with whatever was necessary.

Update 9th January, 2024: Changed the title to “Fun With AI Embeddings in Go”

Before the end of last year, I visited San Francisco (SF) for a few weeks. It felt great meeting some old friends and ex-colleagues face-to-face after a long hiatus. There is something incredibly refreshing about being in the same room with the folks you’ve spent chatting to so much time over the past few years on Zoom or Slack. Real-life connections remain undefeated and I hope it will stay that way.