- Course
Navigating Large Language Models fundamentals and techniques for your use case | ZH
About this course
After completing this course,
- You will understand the basic architecture and capabilities of LLMs, recognize their potential and risks in enterprise settings, and explain SAP’s strategy for relevant, reliable, and responsible AI.
- You’ll be able to identify suitable business problems for LLM integration, outline the steps from ideation to deployment, and apply prompt engineering techniques to guide model outputs.
- You will learn to secure prompts, mitigate risks like prompt injections, and use grounding and RAG methods to anchor AI responses in factual business data.
- It will help you evaluate LLM applications using both human feedback and automated metrics and introduce you to MLOps practices for continuous improvement.
- By the end, you’ll be equipped to design, implement, and maintain effective LLM solutions that deliver real value to your organization.
Products and Roles
Data ScientistDeveloper
Learn
Unit 1
介绍 SAP 的大语言模型方法
1
Unit 2
介绍 SAP 面向大型语言模型的产品开发用例
2
Unit 3
为您的用例采用提示工程
3
Unit 4
运用技术提高大型语言模型性能
4
Unit 5
评估和测试大型语言模型
5