Prompt Engineering
for Localization
Konstantin Dranch
Co-Founder, Custom.MT
Dominik Wever
Founder, Promptitude
Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. In localization, we use RAG to translate with accurate terminology and for automated post-editing.
Chain of Thought prompting is a useful technique for decomposing longer prompts. During our workshop, you will learn to apply it, so that AI fully executes all of your instructions.
Large language models can now check, edit, and transform text data from the image. Imagine a customer sends you a screenshot, and you get the UI texts analyzed according to your guidelines in a few minutes.
Run a custom prompt on a thousand segments via Google Sheets integration with AI. Additionally, discover integrations with DeepL and Gmail.
“Finally an LLM event which goes beyond speculation about the future!”
“It was a great event to hear new perspectives and learn new things.”
“Great information. I just wish it had been longer!”
“The hackaton was a great learning experience for me as a newbie in prompt engineering. It was also a good opportunity to network. I’m looking forward to more of these.”
