Why LLM compression matters Recent trends in LLM performance improvement have moved away from simply scaling model size. Instead, new approaches are gaining momentum: ensuring high-quality training data, improving the precision of smaller models, and prioritizing cost efficiency during training. As LLM-driven services grow at unprecedented speed, new constraints are emerging. Some services prioritize latency […]
