人工智能行业：DeepSeek如何赋能职场应用？——从提示语技巧到多场景应用

Investment Rating - The report does not provide a specific investment rating for the industry. Core Insights - The report emphasizes the importance of human-machine collaboration and the development of AI models that enhance creativity and innovation in various fields [3][4]. - It discusses the capabilities of different AI models, including general-purpose models and those designed for complex reasoning and deep analysis tasks [7][8]. Summary by Sections Industry Overview - The report highlights the emergence of AI technologies that facilitate human-machine symbiosis, focusing on the development of large models that can perform various tasks [3][4]. Model Comparisons - Three modes of DeepSeek are introduced: - Basic Model (V3): A general-purpose model suitable for most tasks. - Deep Thinking Model (R1): A reasoning model for complex tasks such as mathematical logic and programming. - Online Search: Retrieval-Augmented Generation (RAG) for knowledge base updates [5][7]. Model Features - The report compares two models, V3 and R1, based on various dimensions such as regulation, result orientation, route flexibility, responsiveness, and risk [11][12]. - V3 is characterized by strong regulatory constraints and high determinism in results, while R1 allows for more open-ended exploration and higher risk [11][12]. Application Scenarios - The report outlines potential applications of DeepSeek in various domains, including data analysis, media content creation, and intelligent interaction [4][5][6]. User Interaction - The report discusses how users can interact with DeepSeek through various platforms, including NVIDIA, Microsoft Azure, and Amazon AWS, highlighting the accessibility and deployment options available [6]. Future Directions - The report suggests that the ongoing development of AI models will continue to enhance human capabilities and foster innovation across industries [3][4].