Otto Dobretsberger
Sr. Software Engineer
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Dr. Otto Dobretsberger is a Senior Software Developer at CODE Consulting (part of the CODE Group). He holds a Bachelor's degree in Biomedical Informatics from UMIT, an institution in Austria, as well as a Master's and Ph.D. in Computer Science from the University of Houston. His professional expertise centers on high-performance computational analysis of genetic and genomic data, with extensive experience in C and C++. He specializes in WPF, C#, and C++ development, while maintaining proficiency in multiple additional programming languages. His project portfolio spans biomedical image processing, genetic and genomic data analysis, analytical software solutions for the oil and gas industry, and the development of custom controls. Dr. Dobretsberger has authored scientific papers and magazine articles and is a regular speaker at industry conferences.
Since 2012, he has served as an Adjunct Professor at the University of Houston, where he has taught a range of programming courses, including C++, Python, JavaScript, and Java.
In addition to his technical and academic roles, Dr. Dobretsberger organizes the Global AI Houston chapter, leading a local community of AI professionals and enthusiasts focused on knowledge sharing and advancements in artificial intelligence.
Outside of his professional pursuits, he is an accomplished powerlifter, actively training and competing. He holds multiple USPA National Records and IPL World Records.
How Do Large Language Models (LLMs) – Such as ChatGPT – Actually Work?
Do you wonder how ChatGPT and other large language models (LLM) work? We’ll walk through a comprehensive example to illustrate the intricate process behind how LLMs like ChatGPT generate answers. Through this session, attendees will gain valuable insights into the underlying mechanisms that enable LLMs to understand and respond to human-generated queries. This session will demystify the complex algorithms and advanced techniques used by LLMs, providing a deeper understanding of their capabilities.
Through a carefully curated example (no code demonstrated), you'll witness firsthand how LLMs analyze and interpret the context, meaning, and nuances of questions, enabling them to provide contextually relevant and accurate responses. This interactive exploration will shed light on the state-of-the-art technology driving LLMs, allowing you to appreciate the incredible depth of their knowledge and reasoning abilities.
Whether you are an AI enthusiast, a researcher, or simply curious about the capabilities of LLMs, this webinar promises to be an enlightening and interactive experience. Don't miss this chance to uncover the secrets behind how LLMs transform raw input into insightful and meaningful answers.
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