The second edition of Tsinghua University's "How DeepSeek Empowers Workplace Applications" focuses on workplace scenarios, leveraging a human-computer collaborative model to help users efficiently handle various tasks. This document provides a comprehensive analysis of DeepSeek's core functions, covering its technical architecture, application scenarios, and practical operation tips. Below is a summary of the key points:

Core Models and Modes

DeepSeek offers two main models: the Basic Model V3 and the Deep Thinking Model R1.

• V3 Model: This model emphasizes "normativity and result orientation." It performs exceptionally well in tasks with clear and defined processes, such as generating standardized reports and organizing data. Its operation path is linear, and the results produced are highly predictable, making it particularly suitable for scenarios that require strict adherence to established rules.

• R1 Model: This model focuses more on "openness and reasoning capabilities." It excels in handling complex problems, such as creative planning and logical analysis. It supports exploration through multiple paths, generating diverse results, and is ideal for tasks where the goal is not clearly defined or where innovative thinking is required.

In addition, DeepSeek's online search mode integrates Retrieval-Augmented Generation (RAG) technology, which can call upon the latest knowledge base (updated to July 2024) to effectively meet demands that require up-to-date information.

DeepSeek Empowers the Workplace [Tsinghua University Second Edition] PDF Downlod

Workplace Application Scenarios

Content Creation

• PPT Production: It can automatically generate PPT outlines and flowcharts (Mermaid code) and integrate industry data to ensure that the PPT content is both professional and logically coherent.

• New Media Copywriting: It can generate copywriting content in batches that fits the brand style and supports style imitation and optimization adjustments, greatly improving the efficiency of new media operations.

• Poster Design: Based on the given theme, it can generate design prompts that include detailed descriptions of composition, color, style, and more, and can adapt to various styles such as minimalism and cyberpunk.

• Data Analysis and Visualization: By setting specific roles (e.g., "Mermaid Code Generation Expert"), it can transform complex data processes into intuitive visual charts and supports multi-level structural design. It also provides market research templates for analyzing urban competitiveness, industry trends, and more, ultimately outputting structured analysis reports.

• Efficient Collaboration and Development: DeepSeek can be seamlessly embedded into workflows as an "intelligent agent." Users can define its roles, capabilities, and operational norms to assist with tasks such as code development and video storyboard generation. It also supports ethical constraints (such as data security and copyright compliance checks) to ensure that human-computer collaboration fully complies with workplace standards.​

Practical Operation Tips and Frameworks

• Questioning Techniques: Adjust the content of instructions according to the characteristics of different models. For the V3 model, clearly state the "process - result"; for the R1 model, set open-ended goals.

• Prompt Frameworks:

  • RTGO Structure: By defining Role, Task, Goal, and Objective, it is suitable for scenarios where task precision is highly required.

  • CO-STAR Framework: It includes elements such as Context, Objective, Style, Tone, Audience, and Response type, and works well for creative demands.

• Avoid Over-Intervention: When using the R1 model, there is no need to set detailed steps. Just clearly state key elements such as "goal, audience, constraints," and the AI's potential can be fully unleashed.

Differentiated Model System: Technical Architecture and Scenario Adaptation

1. V3 Basic Model: The Automation Engine for Standardized Processes

• Technical Characteristics: Based on the improved Transformer-XL architecture, it achieves a 99.2% accuracy rate in structured output for document processing and data cleaning scenarios (validated through over 2,000 industry templates).

• Workplace Applications:

  • Batch Report Generation: Automatically extracts key indicators from Excel/database to generate ISO-standard analysis reports (e.g., weekly financial reports, monthly sales reports).

  • Compliance Verification: Real-time detection of compliance with contract clauses and marketing copy, with built-in regulatory knowledge graphs for industries such as finance and healthcare.

2. R1 Deep Thinking Model: Cognitive Enhancement Partner for Complex Decision-Making

• Technical Breakthroughs: Integrates Multi-Head Latent Attention Mechanism (MHLA) and reinforcement learning framework to achieve human expert-level reasoning capabilities.

• Innovation Value:

  • Dynamic Decision Tree Construction: Inputs vague demands (e.g., "optimize supply chain costs") to automatically generate solution matrices with multi-factor trade-offs.

  • Creative Divergence Support: Provides over 20 alternative solutions for new product naming and advertising slogans through the CO-STAR prompt framework.

Scenario-Based Tool Matrix: Full-Chain Capability Penetration

1. Intelligent Content Production Suite

• PPT Intelligence Center: Inputs keywords to automatically generate logical outlines, calls the Mermaid engine to create dynamic flowcharts, and integrates real-time industry data from databases such as Statista.

  • Case: Completed a 50-page professional presentation on the new energy vehicle market analysis in just 15 minutes, with data updated to Q4 2024.

• Multimodal Design Workshop: Supports text-to-design language conversion. Inputs "tech-savvy product poster" to output specific design guidelines, including the golden ratio composition and application of Pantone's color of the year.

2. Decision Analysis Enhancement System

• Intelligent Data Pivot: Non-technical personnel can generate visual dashboards with trend predictions through natural language queries (e.g., "compare ROI across channels in East China") and support one-click export to Tableau/Power BI.

• Risk Warning Hub: Connects to the enterprise ERP system to monitor supply chain fluctuations and cash flow anomalies in real-time, generating risk probability assessment reports through Monte Carlo simulation.

Core Value Realization Pathways

1. Triple Breakthroughs in Lowering Technical Barriers

• Natural Language Interaction: Abandons traditional programming thinking. Users can operate the system through oral instructions (e.g., "Help me organize last week's sales data and generate a list of the top 10 customers by region").

• Open-Source Ecosystem Support: Provides model code and pre-trained parameters under the MIT license, allowing enterprises to quickly build private knowledge bases based on DeepSeek-R1.

• Low-Cost Deployment: API service prices are only 1/4 of those of industry benchmark products, supporting domestic GPUs such as Huawei Ascend, reducing computing costs by 60%.

2. Creativity Release Mechanisms

• Deep Thinking Stimulation: Extends AI's thinking chain through a prompt framework of "10 rounds of critical thinking + 10 rounds of counter-argumentation + 10 rounds of review," breaking through conventional solutions.

• Cross-Domain Knowledge Integration: Calls upon data from non-financial fields such as healthcare and education to provide cross-industry inspiration for product innovation (e.g., optimizing financial risk assessment models by borrowing from biopharmaceutical processes).

3. Professional Compliance Guarantee System

• Dynamic Compliance Verification: Built-in database of over 3,000 laws and regulations triggers real-time compliance reviews during content generation (e.g., automatic filtering of prohibited words in advertising law).

• Ethical Constraint Mechanism: Defines AI behavior boundaries through role definition functions (e.g., setting a "no investment advice" role for research assistants).

• Traceability Audit Function: All generated content automatically includes data source annotations, supporting full-process tracing under the ISO 27001 standard.

Typical Application Scenario Comparisons

Through this "basic model for the baseline, intelligent model for the upper limit" collaborative architecture, DeepSeek ensures the efficiency and standardization of basic workplace tasks while reserving ample space for strategic innovation. Its value is not only reflected in single-point efficiency improvements but also in the reconstruction of the human-computer collaboration paradigm—positioning AI as a "standardized process executor + complex problem collaborator" and allowing human resources to focus on higher-value creative work.