This course introduces you to the fundamentals of Large Language Models (LLMs) and their practical use in business scenarios. You’ll learn how LLMs work, their strengths and limitations, and how to apply them responsibly within SAP environments. The course emphasizes real-world techniques for integrating, optimizing, and evaluating LLM-powered solutions to solve enterprise challenges.
Overview
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Syllabus
- Describing SAP's Approach to Large Language Models
- Describing LLMs
- Describing SAP's Generative AI Strategy
- Describing SAP's Approach to Large Language Models
- Explaining Product Development for LLM Use Cases at SAP
- Starting From Ideation to Productization
- Explaining Product Development for LLM Use Cases at SAP
- Employing Prompt Engineering for Your Use Case
- Explaining Fundamentals of Prompt Engineering
- Analyzing Prompt Techniques
- Leveraging System, User, and Assistant Roles for Better Prompts
- Securing and Hardening Prompts
- Employing Prompt Engineering for Your Use Case
- Applying Techniques to Improve LLM Performance
- Exploring RAG and Grounding Use Cases
- Introducing Prompt Optimization
- Applying Techniques to Improve LLM Performance
- Evaluating and Testing LLMs
- Evaluating and Testing Your LLM Use Case
- Evaluating and Testing LLMs