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Navigating Large Language Models fundamentals and techniques for your use case
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Evaluating and Testing LLMs
Describing SAP's Approach to Large Language Models
Describing LLMs
15 min
Describing SAP's Generative AI Strategy
10 min
Quiz
Explaining Product Development for LLM Use Cases at SAP
Starting From Ideation to Productization
15 min
Quiz
Employing Prompt Engineering for Your Use Case
Explaining Fundamentals of Prompt Engineering
15 min
Analyzing Prompt Techniques
15 min
Leveraging System, User, and Assistant Roles for Better Prompts
20 min
Securing and Hardening Prompts
20 min
Quiz
Applying Techniques to Improve LLM Performance
Exploring RAG and Grounding Use Cases
15 min
Introducing Prompt Optimization
15 min
Quiz
Evaluating and Testing LLMs
Evaluating and Testing Your LLM Use Case
20 min
Quiz
Describing SAP's Approach to Large Language Models
Describing LLMs
15 min
Describing SAP's Generative AI Strategy
10 min
Quiz
Explaining Product Development for LLM Use Cases at SAP
Starting From Ideation to Productization
15 min
Quiz
Employing Prompt Engineering for Your Use Case
Explaining Fundamentals of Prompt Engineering
15 min
Analyzing Prompt Techniques
15 min
Leveraging System, User, and Assistant Roles for Better Prompts
20 min
Securing and Hardening Prompts
20 min
Quiz
Applying Techniques to Improve LLM Performance
Exploring RAG and Grounding Use Cases
15 min
Introducing Prompt Optimization
15 min
Quiz
Evaluating and Testing LLMs
Evaluating and Testing Your LLM Use Case
20 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 1 right to pass this unit.
1.
Why is traditional software testing alone insufficient for evaluating LLM-based applications?
Choose the correct answer.
Because LLMs are probabilistic and can produce variable outputs even for similar inputs
Because LLMs never make factual errors once trained
Because LLMs cannot be integrated with SAP systems
Because LLM testing is fully automated and does not require human oversight