Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
eCeLLM is a series of e-commerce large language models developed by instruction tuning general-purpose LLMs on the ECInstruct benchmark dataset. It substantially outperforms baseline models including GPT-4 and state-of-the-art task-specific models in both in-domain and out-of-domain settings.
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