Model2h ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention mechanisms now drive efficiency in models like Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for massive context windows. Developers can now deploy longer-context applications on tighter hardware budgets. This trend prioritizes inference efficiency over raw parameter scaling.