Machine learning Interview | United States America (US)

Create: 2025-06-14 Update: 2025-06-29 12:24:39

🧠 Anthropic представила мультиагентную систему для Claude

В новой функции Research агент‑координатор (LeadResearcher) создаёт субагентов, которые параллельно ищут, анализируют и структурируют информацию. Это мощный шаг к превращению LLM в полноценный исследовательский инструмент.

📌 Почему это важно:
• Субагенты работают независимо и параллельно
• Каждый из них имеет свой контекст и специализацию
• Главный агент объединяет результаты и выдаёт финальный отчёт
• CitationAgent добавляет корректные ссылки

📊 Результат:
Внутренние тесты показали: Claude с мультиагентной системой превзошёл одиночную модель на +90 % при анализе компаний S&P 500.

💡 Модель теперь не просто отвечает — она планирует, координирует и исследует.

⚠️ Минусы:
• в 4× больше токенов
• в 15× дороже
• не годится для задач с общей памятью (например, программирование)

🔍 Но если нужно глубокое исследование — Claude Research действительно экономит часы и дни человеческой работы.

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Machine learning Interview

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🧠 Anthropic представила мультиагентную систему для Claude

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