// Abstract
Large Language Models are an especially exciting opportunity for Operations: they excel at answering questions, completing sentences, and summarizing text while requiring ~100x less training data than the previous generation of models.
In this talk, Sophie discusses lessons learned productionising Stripe’s first application of Large Language Modelling - providing answers to user questions for Stripe Support.
// Bio
Sophie is a data scientist currently working on improving user experience and efficiency for Stripe’s Operations team. Her favourite thing about being a data scientist is getting to work on a huge variety of business problems, and using analysis and machine learning to solve them. Her hobbies include trying to keep up with the impossibly fast-growing LLM space (inside work) and binge-watching The Office (outside work).