Keynote: Can you trust your (large language) model? - Jodie Burchell - NDC AI 2025

Developer Advocate in Data Science This talk was recorded at NDC AI in Oslo, Norway. #ndcai #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndc-ai.com/ Subscribe to our YouTube channel and learn every day: / @NDC Follow our Social Media! https://www.facebook.com/ndcconferences https://twitter.com/NDC_Conferences https://www.instagram.com/ndc_conferences/ #machinelearning Machine learning algorithms are marvellous things: models that can do a bunch of tedious and complex tasks for us, all with a high degree of accuracy. But how do we really know whether the outputs of machine learning models are correct? This question is not as simple to answer as we might think. As we move into an age where “black box” models, particularly LLMs, are becoming more and more commonly used, it becomes even more essential, and at the same time, difficult and complicated, to be able to assess model performance accurately. In this talk, we’ll explore ways in which our models can lie to us, and how we might be able to peer through this confusion to get at the truth.