6th September 2025
I am once again shocked at how much better image retrieval performance you can get if you embed highly opinionated summaries of an image, a summary that came out of a visual language model, than using CLIP embeddings themselves. If you tell the LLM that the summary is going to be embedded and used to do search downstream. I had one system go from 28% recall at 5 using CLIP to 75% recall at 5 using an LLM summary.
Recent articles
- The Pelican comparison grid for Astra is pretty interesting - 4th September 2026
- OpenAI's rogue agents were caught communicating via public wikis - 4th September 2026
- Claude's new system prompt really doesn't want to reproduce song lyrics - 2nd September 2026