Getting creative with embeddings (via) Amelia Wattenberger describes a neat application of embeddings I haven’t seen before: she wanted to build a system that could classify individual sentences in terms of how “concrete” or “abstract” they are. So she generated several example sentences for each of those categories, embedded then and calculated the average of those embeddings.
And now she can get a score for how abstract vs concrete a new sentence is by calculating its embedding and seeing where it falls in the 1500 dimension space between those two other points.
Recent articles
- My Lethal Trifecta talk at the Bay Area AI Security Meetup - 9th August 2025
- The surprise deprecation of GPT-4o for ChatGPT consumers - 8th August 2025
- GPT-5: Key characteristics, pricing and model card - 7th August 2025