Scaling Data Insights
Xander and Amber discuss the importance of data scaling for platforms handling billions of inferences daily, especially in sectors like ad tech and e-commerce. They emphasize the need for robust model observability and the role of bias tracing tools in ensuring safer models in production. By analyzing trends and patterns in large datasets, practitioners can better debug and enhance their models.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
689: Observing LLMs in Production to Automatically Catch Issues — with Amber Roberts and Xander Song
Related Questions
Can AI systems be scaled as discussed in the episode "Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171" and the clip "Scaling Challenges"?
Can AI systems be scaled as discussed in the episode Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171 and the clip Scaling Challenges?