Skip Tag Taxonomies: Let LLMs Invent Labels, Then Match Them with Embeddings
Simon Willison shows how to ask an LLM to generate made‑up tags for a post, then use vector embeddings to snap those hallucinated labels to the nearest real tags in a massive taxonomy. The trick sidesteps feeding thousands of tags into the model and yields on‑the‑fly classification that still aligns with your existing tag set.