The Rise of DeepSeek and Trends in Agentic AI Applications

Last Modified

2025-02-12

Update Frequency

Not

Format

PDF

Summary
DeepSeek’s rapid rise not only highlights the role of algorithm optimization in balancing model performance and hardware efficiency but also signals a shift in AI development toward inference-driven applications. AI agents are expected to become the primary form of such applications, gradually evolving into systematic Agentic AI, enabling greater automation and goal-oriented task execution.

Table of Contents
1. The Emergence of DeepSeek Drives the AI Industry Toward Inference Applications

2. AI Agents to Become the Primary Form of Inference Applications, Driving the Development of Agentic AI
(1) AI model developers continue to drive AI agent applications
(2) Agentic AI empowers the SaaS industry to further lower barriers to AI adoption

3. Key Focus Areas and Challenges in LLM Development for 2025

4. TRI’s View
(1) DeepSeek’s rise signals a shift toward algorithm optimization and inference-driven AI
development
(2) Inference applications to be agent-driven, transforming SaaS and software usage
(3) Striking a balance between hardware efficiency and algorithm optimization in LLM
development

＜Total Pages：13＞