"Entrepreneurial Opportunities Brought by DeepSeek" released by Tsinghua University, presented by Zhou Hongyi, founder of 360 Group, explores the development history of artificial intelligence (especially large model technology), the core innovations of DeepSeek, and its application prospects in government and enterprise and entrepreneurial fields. It emphasizes how DeepSeek, as a disruptive technology, promotes the popularization and implementation of AI in various industries through technological innovation, user experience optimization, open-source models, and cost reduction. It provides a detailed introduction to DeepSeek's application directions in personal intelligence, intelligence of all things, industrial intelligent transformation, future industries, scientific research, and security, and proposes strategies for combining large models with specific scenarios to achieve cost reduction and efficiency improvement and business process optimization.
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The Hot AI Era
- Introduces the booming scene of Tsinghua University's DeepSeek classroom and emphasizes the importance of the AI era. Briefly introduces the course arrangement and content.
- Establish AI belief: Large models are a major turning point for artificial intelligence and will reshape all products and businesses.
- Large models are not a bubble: Large models are the driving engine of a new round of industrial revolution and will inject strong momentum into high-quality development.
- The development history from expert systems to generative AI. Discusses the development trend from large model AI to scientific AI.
- The battle for AGI: Discusses the exploration of superintelligence beyond humans.
- The battle for large model security: Discusses the security challenges brought by large models.
- The battle for application scenarios: Emphasizes that only by combining with scenarios can the value of large models be brought into play.
Ten Major Predictions Before the Emergence of DeepSeek: Ten major predictions about the development trend of large models.
- The pace of traditional AGI development is slowing down and new directions need to be found
- Slow thinking has become a new development model
- Models are becoming more specialized
- Models are becoming smaller
- The quality and density of knowledge determine the capabilities of large models
- Costs are getting lower and lower
- Multimodality is becoming more and more important
- Intelligent agents drive the rapid implementation of large models
- Open-source results catch up with closed-source
- The gap between China and the United States is rapidly narrowing
The emergence of DeepSeek verified our predictions: Introduces DeepSeek's innovation model.
- Technological innovation: Explains DeepSeek's technological innovations, such as breaking through the ScalingLaw bottleneck.
- User experience innovation: Introduces DeepSeek's improvements in user experience.
- Open source: Discusses the impact of open source on the industry landscape.
- Cost plunge: Discusses the cost reduction brought by DeepSeek.
- Free: Emphasizes the contribution of DeepSeek's free use to technological equality.
- Intelligence for everyone: Emphasizes that DeepSeek enables individuals to have their own large models.
- Intelligence of all things: Explored the opportunity to use AI to redo all hardware.
- Digital Transformation and Intelligent Upgrade: Discussed using large models to help traditional industries achieve digital transformation and intelligent upgrade.
- Future Industries: Introduced the improvements DeepSeek brings to future industries.
- Scientific Research: Discussed scientific reasoning models based on DeepSeek.
- Security: Discussed DeepSeek's security issues and solutions.
- How to Solve the Application Issues of DeepSeek in Government and Enterprises: Discussed the issues of closed-source cloud-based general-purpose large models in government and enterprise scenarios.
- Taking the Path of Open-Source, Locally Deployable, Specialized Large Models: Emphasized the advantages of open source and local deployment.
- DeepSeek Is the Best Choice for Building Vertical Large Models and Scenario Large Models for Specialized Large Models: Introduced the advantages of building specialized models based on DeepSeek.
- Scenario Selection Examples: Provided specific examples of scenario selection.
- Solving Enterprise Applications Requires Building Specialized Large Models: Discussed the necessity of building specialized large models.
- Key Foundations
- Knowledge Base Construction: Emphasized the importance of knowledge bases in enterprise applications.
- Building Agents Based on DeepSeek: Introduced the components and capabilities of agents.
- The Relationship Between Agents and Enterprise Digital Systems: Explored the relationship between agents and enterprise digital systems.
- The Seven Layers of Capabilities of Agents in Enterprise Applications: Introduced the capability layers of agents in enterprise applications.
- Agent Application Cases: Provided specific cases of agent applications.
Summary of Experience in Enterprise AI Applications
The Five Stages of Personal AI Capability
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Embrace DeepSeek
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Nano AI: Introduced the features and advantages of Nano AI.
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The Nine Layers of Capabilities of Agents in Enterprise Applications: Discussed the capability layers of agents in enterprise applications.
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Introduction to 360 Company
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