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Изворен канал @pythonotes · Post #85 · 15 мај

"Ну и как же нам перекидывать строки ви числа?" спросите вы. Проверять каждый символ, очистив строку от лишних знаков и точек. Потом конвертить допустимые символы в числа и восстанавливать знак, дробную чусть и тд??? Самый быстрый способ это просто "попробовать" 😜 text = "-0.3" try: num = float(text) except ValueError: print('Dough!') Всё остальное это уже парсинг и разбор символов для иных целей. #basic

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@githubtrending · Post #14958 · 14.07.2025 г., 12:30

#python#agent#agentic_ai#grpo#kimi_ai#llms#lora#qwen#qwen3#reinforcement_learning#rl ART is a tool that helps you train smart agents for real-world tasks using reinforcement learning, especially with the GRPO method. The standout feature is RULER, which lets you skip the hard work of designing reward functions by using a large language model to automatically score how well your agent is doing—just describe your task, and RULER takes care of the rest. This makes building and improving agents much faster and easier, works for any task, and often performs as well as or better than hand-crafted rewards. You can install ART with a simple command and start training agents right away, even on your own computer or with cloud resources. https://github.com/OpenPipe/ART