NLP Experimentation Challenges

Daniel discusses the challenges faced in NLP experimentation, including the need for diverse tooling, standardization, and centralization. The team's approach to running training, inference, and storing models on an on-prem GPU server is explored, highlighting the complexities of managing a distributed team across the globe.