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Лучшие книги по глубокому обучению и нейронным сетям

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Использование Meta Llama для инновационной модели лучевой онкологии: RadOnc-GPT

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Как обучить языковые модели избегать галлюцинаций: новый подход

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Искусственный интеллект в маркетинге и продажах: подробный обзор

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Предложение исследователей Майкрософт: применение глубокого обучения для предсказания равновесного распределения в молекулярном моделировании.

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Прогресс и проблемы в методах обнаружения и классификации дронов

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Библиотека Syntheseus: инструмент для оценки машинного обучения в планировании ретросинтеза

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Преодоление барьеров: масштабирование мультимодального искусственного интеллекта с CuMo

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Новая симуляционная система улучшает внедрение LLM за счет снижения затрат и повышения эффективности

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Улучшение стабильности языковой модели с помощью автоматического обнаружения недообученных токенов

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OpenAI выпустила GPT-4o для улучшенной интерактивности и множество бесплатных инструментов для пользователей ChatGPT.

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Датасет MISATO для поиска лекарств на основе структуры белковых комплексов с лигандами

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Улучшение обнаружения аномалий с помощью адаптивного шума: псевдо-аномальный подход

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Intel выпустила таблицу лидеров для оценки производительности языковых моделей через 10 ключевых тестов с низкобитовой квантованием.

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Преимущества Vision Transformers (ViTs) и Convolutional Neural Networks (CNNs) в обработке изображений.

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Исследование: улучшение обучения представлению молекул с помощью модели диффузии

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Новый набор данных Buzz Dataset для обучения и feine-tuning AI доступен для всех

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Как “Цепочка Мыслей” умнее делает Трансформеров

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Уменьшение затрат на память GPU без ущерба качеству LLM: FastGen

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Улучшение развертывания больших языковых моделей с помощью QoQ и QServe

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