Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour
Proficiency:
Intermediate
Target:
Professionals, Students, Workers
Learning outcomes
- By the end of this course, 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 course, the learner will ble able to differentiate 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 course, students will be able to list at least 2 approaches for AI explainability and define their scope and purpose.
LessonIntroduction to Large Language Models (Pilot)
Course Content
INTRODUCTION
N-grams
Transformers
Fine-tuning
END
LessonQuiz: AI modern developments (Pilot)
Course Content
Topics
Digital Transformation, Sustainable Manufacturing, Responsible Artificial Intelligence, Artificial Intelligence (AI), Programming, Digital Twin
Provided by
Content created in 2024
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