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
- Claude Opus 4.8: "a modest but tangible improvement" - 28th May 2026
- I think Anthropic and OpenAI have found product-market fit - 27th May 2026
- Notes on Pope Leo XIV's encyclical on AI - 25th May 2026