Lisa Becker
- talk
Beyond LLM-Washing: When other ML models are simply better
Learn from Lisa" I'll be walking you through some real life examples where I weigh LLMs against other non-LLM machine learning models. And then we'll be talking about how to actually choose the right model for your use case"
Since ChatGPT was announced, large language models (LLMs) have taken the spotlight and are frequently used as solutions for a broad range of use cases. However, there's a rich ecosystem of machine learning models beyond LLMs that can provide more effective, efficient, and practical solutions for various business problems. This presentation aims to highlight and move beyond the trend of "LLM-washing" by showcasing real-world scenarios where other machine learning models excel over LLMs. Through clear examples and practical demonstrations, you will gain a deeper understanding of diverse AI tools and learn when and how to apply them effectively.
Track Sponsors
Originally presented in the Back to Basics: AI Fundamentals track
About Lisa Becker
Lisa is a Machine Learning Engineer at Pure App, a dating app that connects people based on their preferences and location. She has over two years of experience in applying natural language processing (NLP) and large language models (LLM) to various domains and challenges, such as speech recognition, sentiment analysis, and text generation. She holds a master's degree in cognitive systems from the University of Potsdam, where she studied the intersection of language, learning, and reasoning. Lisa is passionate about sharing her knowledge and insights with the wider AI community, as a public speaker, a blogger, and a diversity, equity, and inclusion advocate.