圖像加註文字，楊振年認為寵物犬友善婚宴有發展空間。但狗隻准入餐廳新政能為香港餐飲業帶來多大的收入增長？楊振年表示這十分視乎餐廳類型，很難給出預測數字。
微调 — 加载基础模型，准备 JSONL 数据集，使用 TRL/SFTTrainer 进行训练，保存到云端硬盘
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В России ответили на имитирующие высадку на Украине учения НАТО18:04
Testing LLM reasoning abilities with SAT is not an original idea; there is a recent research that did a thorough testing with models such as GPT-4o and found that for hard enough problems, every model degrades to random guessing. But I couldn't find any research that used newer models like I used. It would be nice to see a more thorough testing done again with newer models.
The new API has complete parallel sync versions: Stream.pullSync(), Stream.bytesSync(), Stream.textSync(), and so on. If your source and transforms are all synchronous, you can process the entire pipeline without a single promise.