One Model, Many Budgets — efficient inference and controllable generation

Efficient capability increasingly comes from inference-time methods, selective training, compression, and systems co-design. DLite reports 2–6-token acceptance and up to 70% improvement over DSpark, while cache-policy work claims 7.1% lower cost over expert design; separate AKV repost claims 27.7% average cost reduction and a 1.7-point accuracy gain through agent-managed KV caching. Latency, memory, quality, workload details, and independent validation remain open.