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Оценка и улучшение производительности моделей для табличных данных с помощью XGBoost и ансамблей

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Встречайте Jockey: разговорный видеоагент с использованием LangGraph и API Twelve Labs

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Оптимизация вычислительных ресурсов для проектов машинного обучения и анализа данных: практический подход

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Обзор возможностей и этического дизайна языковой модели Claude AI компании Anthropic

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Как искусственный интеллект масштабируется с увеличением объема данных? Новый класс индивидуальных законов масштабирования данных для машинного обучения, представленный в статье из Стэнфорда.

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Новый алгоритм поиска BM42 от Qdrant: оптимизация для приложений RAG и искусственного интеллекта.

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Фреймворк для одновременной обработки нескольких длительных запросов с ограниченной памятью высокой пропускной способности GPU.

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10 примеров использования ChatGPT

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Новая архитектура для LLM: явный механизм памяти для повышения эффективности и производительности

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Лучшие курсы по искусственному интеллекту, машинному обучению и науке о данных от Udacity

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Исследования Salesforce AI: новый инструмент для создания разнообразных наборов данных.

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Как решить, покупать или создавать генеративные ИИ решения: 5 ключевых факторов

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Исследователи Google делятся практическими идеями по сжатию моделей через дистилляцию знаний

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Влияние AI Copilot на производительность в развитии языка Ada

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Как избежать переобучения в нейронных сетях: метод Dropout

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Как популярные знания улучшают точность LLM: пересмотр дизайна набора данных для QA

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Предложение исследователей из CMU: XEUS – универсальный речевой кодер для 4000+ языков

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Новый способ взлома тюрем с помощью искусственного интеллекта от Microsoft

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5 эффективных шаблонов дизайна для агентов LLM в реальных приложениях

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Простая базовая модель для обучения на основе подкрепления без использования сложных моделей или вычислительных ресурсов.

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