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Встречайте Xmodel-1.5: Новый многоязычный модель с 1 миллиардом параметров, обученная на 2 триллионах токенов.

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Pleias представляет общий корпус: крупнейший многоязычный набор данных для предобучения языковых моделей.

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Fireworks AI выпустила f1: новый ИИ, превосходящий GPT-4o и Claude 3.5 в сложных задачах.

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DeBaTeR: Новый метод ИИ, использующий временную информацию для улучшения фильтрации и предсказаний в нейронных графах.

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DBgDel: Рамки улучшенного удаления генов для производства, связанного с ростом, в метаболических моделях генома

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Сбалансирование точности и скорости в системах RAG: Оптимизация методов поиска

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Kinetix: Открытая вселенная физических задач для обучения с подкреплением

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Алгоритм опорных векторов (SVM)

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GraphAide: Создание и использование графов знаний для цифровых помощников в определенной области

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Исследователи MIT предложили Boltz-1: первую открытую модель ИИ с точностью, сравнимой с AlphaFold3, для предсказания структуры биомолекул.

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Встречайте Beepo-22B: Модель ИИ без ограничений, основанная на Mistral Small Instruct 22B

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Познакомьтесь с Memoripy: библиотека Python для улучшения памяти в AI-приложениях

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NeuralDEM: Новая высокопроизводительная симуляция крупных частиц с помощью многогранных нейронных операторов

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H-DPO: Улучшение согласования языковых моделей с помощью контроля энтропии

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BEAL: Байесовский метод глубокого активного обучения для эффективной многометочной классификации текста

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Google AI представляет LAuReL: улучшение нейросетей с помощью новых соединений остатка для повышения эффективности моделей.

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7 лучших инструментов для визуализации графовых баз данных

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LLaMA-Mesh: Новый подход в ИИ, объединяющий создание 3D-сеток и большие языковые модели, представляя сетки в виде обычного текста.

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Microsoft AI Research выпустила 1 миллион синтетических пар инструкций с разными возможностями

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Встречайте NEO: Многоагентная система для автоматизации всего процесса машинного обучения.

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