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
- A Fireside Chat with Cat and Thariq from the Claude Code team - 21st July 2026
- Kimi K3, and what we can still learn from the pelican benchmark - 16th July 2026
- The new GPT-5.6 family: Luna, Terra, Sol - 9th July 2026