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romptPilot全模型兼容,数据产品能力上新!
Cai Fu Zai Xian·2025-08-14 01:36

Core Insights - The article discusses the upgrades and new features of Volcano Engine's AI tools, including PromptPilot and Data Agent, aimed at enhancing AI application efficiency and data utilization for enterprises [1][2][4]. Group 1: PromptPilot Upgrade - PromptPilot has been upgraded to support prompt optimization for any model, including public cloud models, private models, and custom-trained models [2][3]. - The tool utilizes natural language interaction to understand user needs, extract evaluation criteria, and generate improved prompts, thereby continuously optimizing based on online traffic and bad case analysis [2][3]. - The integration with Volcano Engine's knowledge base allows for precise content retrieval, enhancing the model's understanding and output in specialized fields [3]. Group 2: Data Agent and One-Customer-One-Strategy - Data Agent is a vertical intelligence tool that deeply understands and utilizes enterprise data assets, enabling proactive analysis and action [5]. - The "One-Customer-One-Strategy" feature allows for personalized marketing by analyzing multi-dimensional data related to customers, internal knowledge bases, and public data, generating tailored marketing plans [5][6]. - This feature has shown significant results, with conversion efficiency from Marketing Qualified Leads (MQL) to Sales Qualified Leads (SQL) increasing by up to 300%, and data utilization rising from 10% to 95% [6]. Group 3: AI Data Lake Service and AI Operator Square - The AI Data Lake service has been enhanced with the launch of "AI Operator Square," which facilitates the management of multi-modal data, including text, images, and audio-visual content [7]. - The AI Operator Square provides over 100 standardized operators for various data processing tasks, allowing users to create modular workflows through a visual drag-and-drop interface [8][9]. - This upgrade aims to transform scattered data into knowledge assets, promoting automated circulation and value addition of knowledge assets [9].