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
- Datasette Apps: Host custom HTML applications inside Datasette - 18th June 2026
- GLM-5.2 is probably the most powerful text-only open weights LLM - 17th June 2026
- Publishing WASM wheels to PyPI for use with Pyodide - 13th June 2026