2025年AI应用AI_Agent架构新范式报告_110页_17mb

报告摘要

Al Agent Application Summary

Overview

Al Agent represents a paradigm shift from static tools to intelligent partners capable of autonomous decision-making and action execution.
The solution leverages large language models (LLMs) for cognitive tasks (understanding
The solution leverages large language models (LLMs) for cognitive tasks (understanding intent, planning) and complementary tools for operational execution (function invocation, data querying).

Key Components

Brain: LLM for natural language understanding and task planning.
Engineer: Architectural components for action execution, including tool orchestration and interoperability protocols (MMS).
Runtime: Supports serverless functions for flexibility and cost efficiency.

Deployment & Benefits

performance.

Enables unified access to diverse Al models (e.g., 128+ models), third-party integration, and comprehensive business process enhancements.

Industries & Use Cases

Applications span diverse sectors including retail, media, healthcare, and education.
Notable clients include Kuke AI绘本 (kid-friendly content), intelligent customer service, and visual intelligence.

Summary

Al Agent embodies a robust platform for enterprise automation, combining LLM innovation with operational efficiency. It serves as a comprehensive tool for businesses seeking to democratize AI capabilities, offer superior services, and drive innovation across various domains.

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