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
- Notes on the xAI/Anthropic data center deal - 7th May 2026
- Live blog: Code w/ Claude 2026 - 6th May 2026
- Vibe coding and agentic engineering are getting closer than I'd like - 6th May 2026