Model2d ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention now drive efficiency in Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for massive context windows. By optimizing how models store key-value pairs, developers can process longer documents without linear cost spikes. This shift makes high-token windows viable for consumer-grade hardware.