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Изворен канал @pythonotes · Post #400 · 8 дек.

Три способа выполнить множество задач с asyncio Функция для примера: async def do_it(n): await asyncio.sleep(random.uniform(0.5, 1)) return n 1. Последовательный вызов async def main(): for i in range(100): result = await do_it(i) Такой вызов имеет смысл только тогда, когда результат одной задачи требуется для вызова следующей. Если они независимы, то это антипаттерн, так как аналогичен простому синхронному вызову по очереди. 2. Упорядоченный результат async def main(): tasks = [do_it(i) for i in range(100)] results = await asyncio.gather(*tasks) Выполняет корутины конкурентно и возвращает результат в виде списка. Полезен когда требуется получить результаты в том же порядке в котором задачи отправлены. 3. Результат по мере готовности tasks = [asyncio.create_task(do_it(i)) for i in range(100)] for cor in asyncio.as_completed(tasks): result = await cor Так же выполняет корутины конкурентно, но не гарантирует порядок. Результат возвращается по мере готовности, каждый отдельно. Полезен когда нужно обработать любой ответ как можно скорее. #async

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AI & Law

@ai_and_law · Post #417 · 11.10.2024 г., 07:04

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AI Copyright Lawsuit: A New Era of Dataset Transparency? In a groundbreaking move for AI copyright disputes, a judge has permitted authors' representatives to inspect OpenAI's confidential training dataset under strict conditions. This decision could set a precedent for how training data is scrutinized in future legal battles over AI-generated content. The inspection is to be conducted in a highly controlled environment—either at OpenAI’s San Francisco office or a secure location within a 25-mile radius. A secured, internet-free computer will be provided, containing a README file with a directory of the data. The inspection room bans recording devices, although a note-taking computer can be provided under supervision, ensuring that sensitive data remains protected. Only individuals qualified under the protective order can access the data, emphasizing the heightened confidentiality. This level of transparency and rigor in examining training data might become a standard in AI litigation. As AI technology continues to reshape industries, balancing innovation with intellectual property rights will require similar measures to ensure fairness and accountability. #AICopyright#TransparencyInAI#AIRegulation

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AI & Law

@ai_and_law · Post #197 · 22.12.2023 г., 08:04

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CAI Unveils Public "Zero Draft" for AI Framework Convention Greetings AI & Law community! The European Committee on Artificial Intelligence (CAI) has announced the public release of the revised "Zero Draft" Framework Convention on Artificial Intelligence, Human Rights, Democracy, and the Rule of Law. Key Points: 1️⃣ The "Zero Draft" serves as the foundational document for drafting the Framework Convention and is not the final outcome of CAI negotiations. 2️⃣ A Consolidated Working Draft has been prepared based on the first reading of the revised Zero Draft, containing preliminary agreements and proposals for further negotiations. 3️⃣ The text which is not in brackets and in red font is considered to be preliminarily agreed. 4️⃣ The CAI Bureau has decided to make this document public, providing transparency into the ongoing process. The recently released Draft Framework Convention, based on outcomes from the second reading, will be the focal point for the upcoming 9th Plenary meeting. Notably, provisions under negotiation include the Scope, Risk and impact management framework, and the Conference of the Parties. #AIlaw#CAI#AIregulation#FrameworkConvention#TransparencyInAI

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