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Изворен канал @pythonotes · Post #402 · 22 дек.

Отдельно разберём TaskGroup, который пришел на замену gather в Python 3.11. Ключевые отличия ▫️create_task() возвращает объект asyncio.Task, у которого есть соответствюущие методы управления. То есть у нас больше контроля ▫️это контекстный менеджер, который гарантирует что все таски будут остановлены по выходу из контекста ▫️ошибка автоматически отменяет незавершенные задачи, ▫️except* передает нам ExceptionGroup, в котором каждую ошибку можно обработать отдельно import asyncio import random async def do_it() -> str: if random.random() < 0.1: raise ValueError('Oops') delay = random.uniform(0.5, 1.5) await asyncio.sleep(delay) return delay async def main(): try: async with asyncio.TaskGroup() as tg: for _ in range(10): tasks.append(tg.create_task(do_it())) for t in tasks: print(t.result()) except *ValueError as e: for err in e.exceptions: print(err) asyncio.run(main()) Рекомендую изучить страницу Coroutines and Tasks из документации, где представлено больше интересных примеров и механизмов - таймауты - отмена задач - создание задач из другого потока #async

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AI & Law

@ai_and_law · Post #120 · 24.09.2023 г., 09:18

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🌟AI Sunday Wonders: Toyota's Breakfast Bots Show How Robots Learn Welcome to AI Sunday Wonders! This week, we're diving into the fascinating world of AI-powered robots, and Toyota has a delightful story to share. Toyota Research Institute (TRI) has introduced the concept of a "kindergarten for robots." But here's the twist: these robots are learning to make breakfast! Traditionally, teaching robots complex tasks required extensive coding and debugging. However, TRI is taking a different approach. By giving robots a sense of touch, they allow the robots to "feel" their actions, making learning easier. Here's how it works: A "teacher" initially demonstrates a set of skills, and then, over a few hours, the AI model learns in the background. Imagine teaching a robot in the afternoon and coming back the next morning to find it mastering a new skill. Toyota aims to create "Large Behavior Models" (LBMs) for robots, allowing them to generalize new skills based on observed patterns, similar to how AI models learn from human writing patterns. They've already trained robots in over 60 challenging skills and plan to reach 1,000 by 2024. Toyota isn't alone in this endeavor; Google and Tesla are also making strides in AI training for robots. Imagine the possibilities: AI-trained robots that can perform tasks with minimal instruction, just like humans. #AISundayWonders#ToyotaRobots#AIInnovation

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