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Интерфейс воплощенного агента: AI-рамка для оценки больших языковых моделей в принятии решений.

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SeedLM: Метод сжатия после обучения, использующий псевдослучайные генераторы для эффективного кодирования и сжатия весов LLM

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Google AI представил Gemma-APS: набор моделей Gemma для сегментации текста на предложения.

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Новое исследование OpenAI показывает, как имена пользователей влияют на ответы ChatGPT.

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Neural Magic представила Machete: новый ядро GEMM для графических процессоров NVIDIA Hopper с смешанным вводом.

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Google AI представила новые инструменты для улучшения логики в языковых моделях.

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Новая технология для развертывания небольших языковых моделей от Predibase

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AFlow: Новый искусственный интеллект для автоматизации рабочих процессов

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MentalArena: ИИ для самостановки, обучающий языковые модели для диагностики и лечения психических расстройств.

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Quanda: Новый инструмент на Python для оценки и проверки атрибуции данных в объясняемом ИИ

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MEGA-Bench: Всеобъемлющий AI-бенчмарк для оценки мультимодальных задач более чем по 500 реальным задачам с управляемыми затратами на вывод.

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Ученые из Университета Цинхуа и Zhipu AI представили CogView3: новую систему, улучшающую текстово-изображенческий диффузионный процесс.

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Simular Research представила Agent S: открытый AI-фреймворк для автономного взаимодействия с компьютерами через графический интерфейс.

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MIBench: Полный AI-бenchmark для атак и защиты от инверсии модели

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Оценки, ограничения и будущее веб-агентов – WebGPT, WebVoyager, Agent-E

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Зачем и как создавать AI-агентов для приложений с LLM

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Zyphra выпустила Zamba2-7B: современную небольшую языковую модель

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Inheritune: Эффективный метод обучения ИИ для создания небольших и высокопроизводительных языковых моделей

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Исследователи Стэнфорда предлагают LoLCATS: новый метод ИИ для эффективной линейной обработки LLM.

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Искусственный интеллект от MIT: адаптивные вычисления для эффективных языковых моделей

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