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Новый набор данных MINT-1T: мультимодальный набор данных с одним триллионом токенов для создания крупных мультимодальных моделей

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Новая работа об агенте AssistantBench и его использовании для сложных веб-задач

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Новый метод машинного обучения для научных открытий: AI-Hilbert

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Преобразование доступа к базе данных: метод Text-to-SQL на основе LLM

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Искусственный интеллект Robbie G2: навигация по интерфейсам с помощью OCR, Canny Composite и Grid

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AI-фреймворк для оценки и сравнения систем искусственного интеллекта.

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Готовый к анализу набор данных машинного обучения для классификации сельскохозяйственных угодий в Европе по типам культур.

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Влияние убеждений на производительность и развертывание LLM: новое исследование MIT

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Новая система для эффективного долгосрочного планирования с использованием языковых моделей

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Как обмануть искусственный интеллект: стратегии атаки и уязвимости больших языковых моделей

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Мультиязычный ИИ с большим контекстом и высокой производительностью

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Модель NV-Retriever-v1 от Nvidia AI: оптимизированная для поиска embeddings

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Датасет LEAN-GitHub для развития автоматического доказательства теорем

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Новый набор данных и арена для оценки систем Retriever-Augmented Generation

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Автоматизация рабочих процессов с анализом данных, вызовами API и бизнес-действиями с помощью Manaflow.

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Видео-модель SF-LLaVA: без обучения и настройки для различных видеозадач

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Курсы по крупным языковым моделям

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Фреймворк TaskGen: использование искусственного интеллекта для решения задач путем их разбиения на подзадачи.

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Новый метод для создания эффективных мультимодальных систем машинного обучения

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Новый подход к управлению ИИ: переосмысление порогов вычислений

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