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Navigating Large Language Models fundamentals and techniques for your use case
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Describing SAP's Approach to Large Language Models
Describing SAP's Approach to Large Language Models
Describing LLMs
15 mins
Describing SAP's Generative AI Strategy
10 mins
Quiz
Explaining Product Development for LLM Use Cases at SAP
Employing Prompt Engineering for Your Use Case
Applying Techniques to Improve LLM Performance
Evaluating and Testing LLMs
Knowledge quiz
It's time to put what you've learned to the test, get 2 right to pass this unit.
1.
Which of the following are major limitations or risks associated with Large Language Models (LLMs)?
There are three correct answers.
They may generate convincing but incorrect information known as "hallucinations"
They have full real-time awareness of the internet and current events
They can reproduce or amplify human biases found in training data
They may expose sensitive data if used through unsecured public interfaces
They inherently understand physical context and human reasoning
2.
How does SAP makes LLMs relevant and reliable for enterprise use? (Select all that apply)
There are two correct answers.
By grounding AI responses in real-time data from SAP systems
By connecting directly to public LLMs without restrictions
By managing all AI interactions through the secure generative AI hub
By encouraging users to manually verify AI-generated outputs for accuracy