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Изворен канал @pythonotes · Post #425 · 20 апр.

Недавно делал быстрый прототип асинхронного приложения в котором требовалось вызывать много синхронного кода. Да, я знаю, что это не лучший дизайн, но нужно было быстрое решение на один процесс и без очередей. Поэтому я выполнял код в потоках. Выглядело это примерно так: from fastapi.concurrency import run_in_threadpool async def execute(data: DataRequest) -> DataResponse: try: result = await run_in_threadpool(sync_function, data) return DataResponse(data=result) except Exception as e: return DataResponse( error=str(e), success=False, ) В общем работает нормально. Для всех вызовов под капотом используется общий тредпул, всё работает предсказуемо. Но потребовалось изменить количество запускаемых в пуле потоков (по умолчанию создается 40 воркеров). Так как дело происходит с FastAPI, делается это через lifespan используя настройки anyio: import anyio @asynccontextmanager async def lifespan(app: FastAPI): limiter = anyio.to_thread.current_default_thread_limiter() limiter.total_tokens = 100 yield # если вдруг нужно вернуть обратно limiter.total_tokens = 40 Зачем менять количество воркеров? - уменьшить, если оперативки мало (один тред занимает ~8мб) - увеличить чтобы выдержать нагрузку Если есть предложения получше при тех же вводных - предлагайте😉 #async

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AI & Law

@ai_and_law · Post #59 · 18.07.2023 г., 07:04

China's new AI measures: boosting generative AI services Hello, everyone! Today we have exciting news from China. On July 13th China released the final version of the Interim Measures for Administration of Generative AI Services. Compared to the previous draft, which was open for public comments in April, the final version showcases a more business-friendly and supportive approach. These AI Measures specifically apply to services that generate text, image, video, and audio content using generative AI technology and are made available to the public in China. With a focus on both development and security, China adopts an "inclusive and prudent" stance. Notably, the final version includes more comprehensive provisions to foster international collaborations on generative AI technology and services, surpassing the scope of the earlier draft. The AI Measures outline a range of legal requirements for performing and utilizing generative AI services. These include adhering to core social values, protecting intellectual property rights and trade secrets, as well as taking effective measures to prevent discrimination, monopoly, and anticompetitive practices when designing algorithms, selecting training data, and creating computing models. While the whistle-blowing mechanism remains intact from the consultation draft, the punitive terms that could result in administrative fines of RMB10,000-100,000 for violations have been removed in the final AI Measures. The AI Measures are set to take effect on August 15th, sending a positive signal to businesses interested in investing, developing, and engaging in generative AI services in China. This move is expected to attract significant investments into China's thriving AI landscape in the coming months and years. #AIRegulations#GenerativeAI#ChinaAI#BusinessInvestments

Crypto M - Crypto News

@CryptoM · Post #64898 · 10.04.2026 г., 07:57

🚀 AI TRENDS | China's AI Industry Alliance Issues Risk Management Guide for Enterprise Security China's AI industry alliance has introduced a risk management guide aimed at enhancing enterprise security governance, similar to OpenClaw. According to NS3.AI, the guide establishes a security framework and self-inspection standards for the deployment, usage, and decommissioning of AI agents. #AI#ChinaAI#EnterpriseSecurity#RiskManagement#SecurityGovernance#AIIndustry#AIagents#NS3AI