Using LLM Hallucination for Efficient Product Classification

The article proposes using LLM hallucination to generate fake product classifications, which are then matched to real classifications via embeddings for cost-effective categorization. This approach eliminates the need for structured outputs and leverages similarity scores between generated and real classifications.

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