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Метод машинного обучения для настройки языковых моделей на разные цели

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Метод машинного обучения LoRA-Pro для сокращения разрыва в производительности при адаптации к низким рангам и полной донастройке

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Язык SGLang для эффективного выполнения сложных программ языковых моделей

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Как найти медицинский прорыв в обычном тексте? Узнайте о NATURAL: инструмент для оценки причинно-следственных связей из неструктурированных текстовых данных за несколько часов, а не лет.

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Фреймворк CompeteAI для анализа конкурентной динамики больших языковых моделей AI

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Влияние сомнительных научных практик на оценку моделей машинного обучения

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AI Agent-E: Успешная автономная навигация в сети с улучшением на 20%

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Этические риски настройки ChatGPT: важная информация

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Новый метод машинного обучения для принятия решений в реальном времени.

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Сравнение ведущих моделей искусственного интеллекта: Llama 3.1, GPT-4o и Claude 3.5

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Улучшение производительности искусственного интеллекта путем упрощения процесса принятия решений

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Новый метод обучения ИИ для борьбы с галлюцинациями

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Решение сложных математических проблем с помощью Google DeepMind: AlphaProof и AlphaGeometry-2.

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Databricks представили публичный превью фреймворка Mosaic AI Agent и оценки агента.

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Улучшение понимания визуального языка: саморазвитие VILA 2 и интеграция специализированных знаний

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Библиотека Nerva: новый прорыв в эффективности и производительности разреженных нейронных сетей.

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Возможности мышления искусственного интеллекта для сложных многопользовательских задач

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Метод машинного обучения для изучения многозадачных временных действий с использованием обработки естественного языка

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Ядерный модуль CUDA для ускорения вывода LLM через объединенные квантованные матричные умножения.

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Метод маршрутизации запросов на основе AI: просто и эффективно

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