[Live Webinar] Demystifying LLMs: What Can They Actually Do Well?
Members: Free
Non-Members: $75
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This first session of the 3-module prompt design webinar introduces the mechanics of LLMs, explaining how their training and your prompts define the output. The session explores AI’s capabilities, limitations, and practical use cases, with special focus on localization, including:
• How do LLMs learn what they know?
• Machine learning specialists versus shamans: What’s the difference?
• LLM personalities: Why do we have our favorite LLM?
• Strengths and weaknesses of AI.
• Proven AI use cases in localization.
• Debunking myths about AI.
Target Group
• Localization professionals and project managers
• Translators, post-editors, language specialists
• Content creators
• Localization vendor managers
• Educators and university lecturers in Translation Studies
• Product managers of AI tools to be used by linguists and translators
Register for Session 2, The Science and Art of Prompt Design
Register for Session 3, Evaluating LLM Responses
Host organization: RWS
Event Speakers
Marina Pantcheva
RWS
I am a linguist and polyglot with a rich experience in academic pursuits (research, teaching and science popularization) as well as management, leadership and innovation. I hold a PhD degree in Theoretical Linguistics. My academic work centered around the exploration of the elementary particles of language within the innovative framework of Nanosyntax. In 2014, I transitioned to the fast-paced world of Localization. Over the course of several years, I lead a team developing processes and solutions for crowd-based localization, covering technology, BI, linguistic quality, Community management and more. Currently, I am heading the Linguistic AI Services Center of Excellence at RWS, dedicating my efforts to the development and implementation of linguistic AI solutions. I am a fervent advocate for the use of clear language. I am equally passionate about knowledge sharing and am frequently involved in outreach initiatives, such as public presentations, blog contributions, podcasts and other events dedicated to the dissemination of knowledge. In my spare time, I paint, read, and engage in research inspired by the vast amount of data I encounter in my daily work.