Modern Inference for Modern Workloads
Practitioners from the companies at the frontier of inference and model development sit down to unpack what application developers need to understand right now: why fine-tuning is quietly resurging under the name "RL," how smart teams are compressing inference costs by shaping smaller specialized models, who owns the model routing problem, and why inference capacity is structurally behind demand — possibly for years.