dailyai.report

Doug Turnbull proposes bypassing massive tag vocabularies by letting LLMs hallucinate plausible tags first. The system then uses vector embeddings to map these imagined labels to the closest existing tags in a corpus. This removes the need to feed thousands of options into a prompt. Practitioners can now automate legacy content classification without hitting context limits.