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
- Conceptual integrity and counting lines of code - 19th August 2026
- Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things - 16th August 2026
- Now we have a timeline of the OpenAI accidental attack against Hugging Face - 7th August 2026