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Изворен канал @pythonotes · Post #310 · 22 фев.

Сегодня будет самый "двоичный" ("двойковый"? "двушный"? "двойственный"?) момент на вашем веку 🤩 Больше двоек в дататайме вы не застанете! Успейте поймать момент! Будете показывать эпичный скриншот своим внукам))) 🥸 Для продуманных (ленивых): код на скрине, который сработает только сегодня и только 1 раз! ⏱ Открывайте окошки с часами и вперёд! #offtop

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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