What is Skywork Deep Research Agent v2
Skywork Deep Research Agent v2 is an upgraded deep research agent launched by Kunlun Wanwei. As theTiangong Super Agentcore engine, it has multimodal deep research capabilities. It integrates multimodal retrieval, understanding, and generation functions for the first time, supports processing mixed text and image information, and generates high-quality reports. Skywork Deep Research Agent v2 has multimodal deep browser agent capabilities, can simulate human web browsing, analyze social media content, and generate visual reports or standalone websites. Skywork Deep Research Agent v2 performs excellently in deep information search and complex task execution. Based on high-quality data training, end-to-end reinforcement learning, and efficient parallel inference technology, it significantly improves reasoning performance and efficiency, providing users with higher-quality and more efficient AI experience.
Main features of Skywork Deep Research Agent v2
- Integrate multimodal information: Integrates multimodal retrieval, understanding, and generation capabilities into deep research, can process mixed text and image information, and avoids missing decision-making basis caused by ignoring non-text information such as images.
- High-quality report generation: When generating documents, automatically analyzes images and inserts them as high-quality illustrations, or integrates image information to generate new charts, significantly reducing the reader's comprehension cost.
- Deep multimodal content understanding: Can analyze images, videos, and comment sentiment in social media posts, providing more comprehensive information insights.
- Automated data analysis and reporting: Automatically generates intuitive and easy-to-understand visual reports.
- One-click website deployment: Generates standalone websites from key images and analysis content, facilitating results display and team sharing.
- Seamless integration into workflows: Works in conjunction with information retrieval agents or document agents to improve office efficiency.
Technical principles of Skywork Deep Research Agent v2
- Multimodal Crawling Technology (MM-Crawler): Can efficiently crawl multimodal data on the internet, including text, images, videos, etc., ensuring the completeness and diversity of information. Long-distance collection based on multimodal information ensures sufficient contextual information can be obtained when handling complex tasks.
- Asynchronous Parallel Multi-Agent Multimodal Understanding Architecture: Multiple Agents work collaboratively, processing multimodal data in an asynchronous and parallel manner, improving the efficiency of understanding and generation.
- Multimodal result presentation capability: Presents multimodal information in an intuitive and easy-to-understand way, such as inserting high-quality images into documents or generating new charts.
- End-to-end reinforcement learning: Based on a systematic high-quality data synthesis process, generates training datasets that meet the five standards of diversity, correctness, uniqueness, verifiability, and challenge. Dynamically adjusts training difficulty during the training process to ensure the model always iterates efficiently within the "learning zone". Based on generative reward models and dense reward structures, improves the model's learning efficiency and final performance.
Project address of Skywork Deep Research Agent v2
- Global official website: Skywork.ai
- China official website:Tiangong
Application scenarios of Skywork Deep Research Agent v2
- Industry research and report generation: Quickly generate professional industry research reports containing the latest data and trend analysis, support export in multiple formats, and help enterprises make decisions.
- Educational Content Creation: Generate educational resources such as teaching PPTs and popular science videos for teachers, support multiple styles and multimedia content, and improve teaching effectiveness.
- Marketing Plan Formulation: Based on product characteristics and target audience, automatically generate marketing plan presentations containing market analysis, marketing strategies, and expected results.
- Data Analysis and Visualization: After uploading raw data, automatically generate data tables, charts, and analysis reports to help finance and marketing departments quickly gain insight into data trends.
- Multimedia Content Creation: Enter a creative theme to generate multimedia content including images, text, animations, and voice narration, such as podcasts, web pages, or popular science videos, improving content creation efficiency.