Overview
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Learn to integrate DeepSeek's R1 reasoning model into Java and Spring applications through this 31-minute tutorial that demonstrates both REST API and local implementation methods. Master the process of setting up a Java application with DeepSeek's REST API, building Spring Boot applications with Spring AI integration, and running the model locally. Explore essential concepts including blocking and streaming responses, while leveraging Spring AI's unified API for multiple AI providers. Follow along with practical demonstrations covering Java REST API implementation, Spring AI setup, local model integration, and performance comparisons. Access complete example code through provided GitHub repositories and enhance the development process with Spring AI's documentation. Perfect for developers seeking to implement advanced AI capabilities in their Java applications while understanding the trade-offs between API and local model implementations.
Syllabus
0:00 - Introduction
2:15 - Java REST API Implementation
8:30 - Spring AI Setup
12:45 - Local Model Integration
18:20 - Performance Comparison
22:30 - Final Thoughts
Taught by
Dan Vega