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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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Repositorio data science

@repo_science · Post #3467 · 24.07.2023 г., 05:22

​​Paper Review: Llama 2: Open Foundation and Fine-Tuned Chat Models Introducing Llama 2, a cutting-edge ensemble of large language models ranging from 7 to 70 billion parameters! These models, specially fine-tuned for dialogue use cases, not only outperform existing open-source chat models but also showcase exemplary performance in safety and helpfulness. Llama 2 creators have opened the door for AI community, sharing their detailed approach to inspire further advancements in the development of responsible AI. Project link: https://ai.meta.com/llama/ Model link: https://github.com/facebookresearch/llama Paper link: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/ A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-llama2 #deeplearning#nlp#safetyai#responsibleai