Tsinghua University's "DeepSeek + DeepResearch: Making Research as Easy as Chatting" PDF Free Download 69

The Tsinghua University document "DeepSeek + DeepResearch: Making Scientific Research as Simple as Chatting" was led and compiled by He Jing, a postdoctoral researcher in the team of Professor Shen Yang, who holds a dual appointment at the Tsinghua University School of Journalism and the School of Artificial Intelligence. It primarily introduces the functions, performance, application scenarios, and future prospects of the two DeepSeek AI tools — DeepSeek AI and DeepResearch.

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Document Overview

Main Contents:Introduces the core functions, performance testing, application scenarios, and future prospects of DeepSeek and DeepResearch, demonstrating their advantages and potential across multiple fields

Data Collection and Processing

Data Collection Methods

• Writing crawler scripts

• Accessing databases

• Reading files

• Calling APIs

Data Processing Steps

• Data cleaning

• Data integration

• Data transformation

• Feature engineering

Data Analysis Applications

• Diagnostic, predictive, association, and clustering analysis

• Classification, social network analysis, and time-series pattern mining

• Data visualization

• Statistical charts, heatmaps

• Network relationship diagrams, word clouds, tree diagrams

Model Functions and Features

DeepSeek R1

• Efficient reasoning

• Lightweight design

• Multi-task support

DeepResearch

• Autonomous research

• End-to-end reinforcement learning

• Deep information integration

Application Scenarios and Advantages

Academic Research

• Accelerated literature review

• Technical report generation

• Cookie-cutter literature reviews are no longer a problem — DeepResearch can quickly sort through literature and extract key information

Financial Analysis and Forecasting

• Market trend prediction

• Risk management and portfolio optimization

• Automatically generates professional-grade investment risk assessment reports, supports customized needs, and improves decision-making efficiency

Legal Documents and Consulting

• Intelligent contract review

• Legal case prediction

• Automatically generates legal opinions, improving lawyers' work efficiency

Medical Data Analysis and Diagnosis

• Disease diagnosis assistance

• Personalized treatment plans

• Provides accurate diagnostic and treatment recommendations, improving medical efficiency

Educational Assistance and Content Creation

• Intelligent teaching tools

• Personalized learning plans

• Develop intelligent tutoring tools to meet the needs of different students

Multimodal and Interdisciplinary Applications

Multimodal Support

• Text and image processing

• Complex scenario reasoning

Interdisciplinary Integration

• Combining public opinion analysis with other theories

• Proposing innovative cross-disciplinary questions

Local Deployment and Performance

Local Deployment Capabilities

• Supports Intel and NVIDIA hardware

• Enables efficient on-device inference

Performance Optimization

• Reducing training costs

• Improving inference efficiency

Typical Cases and User Feedback

Yuanzhi AI Review Tool

• Literature import and analysis

• Automatic generation of high-quality reviews

Stanford STORM Platform

• Multi-agent collaboration

• Iterative article generation

Chinese Academy of Sciences Pub Scholar Platform

• Rich data sources

• Intelligent literature recommendation

CNKI Research Platform

• Advantage in Chinese literature

• Supports cross-language analysis

Future Innovation and Expansion

Technical Innovation

Solving the language mixing problem

Enhancing few-shot prompt adaptability

Deep Development in Vertical Domains

• Medical auxiliary diagnosis

• Financial risk prevention and intelligent consulting

Multimodal Fusion and Embodied Intelligence

• Combining natural language processing with computer vision

• Exploring intelligent interaction with hardware

Self-Evolving System Construction

• Automatic synthesis of training data

• Continuous iteration of model capabilities

Future Outlook

Like a Day》discussed the outlook for the future. DeepSeek R1 will enhance general capabilities, optimize prompt engineering, address language mixing issues, and expand software engineering task capabilities, while delving deeply into vertical fields such as healthcare, finance, and education. DeepResearch will continue to optimize its multi-step research and information integration capabilities, providing efficient solutions for more fields and promoting the in-depth application and development of AI technology across various industries.

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