Quiz: AI modern developments (Pilot)

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Workload:

Array hour

Proficiency:

Intermediate

Target:

Professionals, Manager, Students

SUMMARY

In this quiz, we will evaluate the fundamental concepts of Explainable AI and Large Language Models (LLMs). The student will be able to explain how these AI models enhance communication with digital systems, enabling interpretability, natural language tasks like summarization, text generation, and decision-making.

About The Author

Software Competence Center Hagenberg (SCCH), is a research organization committed to building the bridge between fundamental research and industry. With more than 20 years of experience, SCCH has been bringing the highest value to academic research by implementing feasible solutions to companies around Europe in light of Industry 5.0 and the rise of artificial intelligence. We are composed of a great team of data and software scientists from Austria and many other nationalities, with great experience not only in technical development and implementation but also highly motivated to train our customers to use our solutions.

Learning outcomes

By the end of this lesson, students will be able to explain how Large Language Models are used for the purpose of human-machine interaction in the era of Digital Twins.
By the end of this lesson, the learner will ble able to distinguish between encoder-only, decoder-only, and encoder-decoder Large Language Model architectures and decide which architecture is suitable for which type of digital system for communication.
By the end of this lesson, students will be able to list at least 2 approaches for AI explainability and define their scope and purpose