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Getting the best out of large language models: Prompt engineering basics

  • Fachvortrag
  • Künstliche Intelligenz (KI) in der Technischen Kommunikation
  • 14. November
  • 11:30 - 12:15 AM (MEZ)
  • Plenum1
  • beendet
  • Gabriele Buchner

    Gabriele Buchner

    • SAP SE
  • Marianne Macgregor

    Marianne Macgregor

    • SAP SE

Inhalt

Prompt engineering enables generative AI such as large language models to respond better. Basically, prompt engineering is a style of communication and minor changes to a prompt can have an enormous effect on the output, especially for complex tasks. The quality of a prompt will determine how good the response is. You can use elements of a prompt to instruct the model better and so improve training to get more accurate and relevant results.

Das lernen Sie

The objective is to show how technical authors can design prompts to improve the training of large language models and get more accurate and relevant results.

Vorkenntnisse

No prior knowledge is required. Interesting to all, approachable for beginner level and up, but mainly for anyone interested in using large language models such as ChatGPT.

Referent:innen

Gabriele Buchner

Gabriele Buchner

  • SAP SE
  • Zum Profil
Biografie

Gabi Buchner is an experienced translator, writer, and trainer with a strong focus on integrating AI into language-centric workflows. With a background in conversation design for AI assistants, she leads innovative projects at SAP that explore how large language models and AI agents can support writing, translation, and terminology work. She regularly runs prompting workshops and training sessions to help professionals develop practical skills in generative AI. Gabi also addresses the multilingual, multicultural, and ethical dimensions of AI assistants and has shared her insights through blogs and talks at global conferences.

Gabi Buchner is an experienced translator, writer, and trainer with a strong focus on integrating AI into language-centric workflows. With a background in conversation design for AI assistants, she leads innovative projects at SAP that explore how large language models and AI agents can support writing, translation, and terminology work. She regularly runs prompting workshops and training sessions to help professionals develop practical skills in generative AI. Gabi also addresses the multilingual, multicultural, and ethical dimensions of AI assistants and has shared her insights through blogs and talks at global conferences.

Marianne Macgregor

Marianne Macgregor

  • SAP SE
  • Zum Profil
Biografie

Marianne has worked for SAP SE for over 20 years, and since 2016 has mainly focused on conversation design. Currently Marianne is a project manager for an internal conversational AI project. She has also created and teaches basic and advanced training courses on conversation design.

Marianne has worked for SAP SE for over 20 years, and since 2016 has mainly focused on conversation design. Currently Marianne is a project manager for an internal conversational AI project. She has also created and teaches basic and advanced training courses on conversation design.

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