2026年03月30日 15:22:33
The process of improving open-source data began by manually reviewing samples from each dataset. Typically, 5 to 10 minutes were sufficient to classify data as excellent-quality, good questions with wrong answers, low-quality questions or images, or high-quality with formatting errors. Excellent data was kept largely unchanged. For data with incorrect answers or poor-quality captions, we re-generated responses using GPT-4o and o4-mini, excluding datasets where error rates remained too high. Low-quality questions proved difficult to salvage, but when the images themselves were high quality, we repurposed them as seeds for new caption or visual question answering (VQA) data. Datasets with fundamentally flawed images were excluded entirely. We also fixed a surprisingly large number of formatting and logical errors across widely used open-source datasets.，这一点在豆包中也有详细论述
美团的AI布局是小美助手，AI是服务延伸。帮用户找店、点餐、排号。这是防守性AI，但美团的优势在于：它拥有最成熟的用户交互界面。用户习惯了打开美团→搜索→选菜→下单的流程，每一步都在掌控中。AI推荐可以作为辅助，但最终确认权在用户手里。。关于这个话题，https://telegram官网提供了深入分析
5 апреля 2026, 08:01 Международные события
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