Generative AI is rapidly transforming how we work, communicate, and conduct research. For researchers, support staff, and professionals across disciplines, understanding how to strategically use tools like ChatGPT and other large language models (LLMs) is becoming essential.

This introductory training is designed to equip participants with a foundational understanding of generative AI, its practical applications, and its limitations.

Objectives

• Describe the evolution and core principles of generative AI models and their relevance to academic research.
• Identify the features, capabilities, and limitations of various generative AI tools used in research workflows.
• Apply prompt engineering techniques to generate relevant outputs for tasks such as literature reviews, content drafting, and brainstorming.
• Demonstrate the use of generative AI tools to support specific academic tasks, including writing, summarizing, and ideation.
• Evaluate the quality, reliability, and ethical implications of AI-generated content in the context of scholarly work.
• Integrate generative AI tools into personal research workflows to enhance productivity while maintaining critical oversight.

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Organized by VIB Training and Conferences and ELIXIR Belgium