339001a Introduction to Prompt Engineering

Zuletzt geändert:	16.04.2024 / Schwarzer
EDV-Nr:	339001a
Studiengänge:	Social Media Marketing & Management, (Bachelor, 7 Semester, Zulassung ab Wintersemester 2024/2025), Prüfungsleistung im Modul Social Media Marketing& Management Orientation in Semester 1 Häufigkeit: unregelmäßig
Dozent:
Sprache:	Englisch
Art:	-
Umfang:	2 SWS
ECTS-Punkte:	3
Workload:	The workload is 90 hours.
Prüfungsform:	MP
Beschreibung:	- Foundations of Artificial Intelligence and Large Language Models: An introduction to the core concepts of AI and the development of LLMs, setting the stage for understanding their impact and applications. - Principles of Prompt Engineering: Detailed exploration of prompt crafting techniques, including the optimization of prompts to improve AI responses and the strategic use of feedback loops. - Generative AI Tool Development in Python: Detailed instruction on utilizing Python for the creation and implementation of generative AI tools, from basic scripts to sophisticated applications that harness the power of LLMs. - Ethical Considerations in AI: A comprehensive look at the ethical implications of AI interactions, focusing on bias, fairness, and transparency to ensure responsible use of technology. - Practical Applications and Case Studies: Hands-on experience with real-world scenarios, demonstrating the application of prompt engineering across various industries and contexts.
English Title:	Introduction to Prompt Engineering
English Abstract:	In the dynamic world of artificial intelligence and language models, the ability to effectively communicate with and guide these technologies is becoming increasingly essential. The course "Introduction to Prompt Engineering" empowers students with the knowledge and skills required to excel in the realm of prompt engineering, leveraging the capabilities of AI and large language models (LLMs). The curriculum delves into the intricacies of Generative AI and especially LLMs, from foundational principles to cutting-edge applications, emphasizing the significance of crafting precise prompts to achieve specific outcomes. Through a blend of theoretical insights and practical exercises, students will explore the nuances of human-AI interaction, the structure and function of language models, and the critical role of ethical considerations in AI interactions. The course also covers the development of Generative AI tools in Python.