Model7d ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention mechanisms now power models like Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for massive context windows. By optimizing how tokens are stored and retrieved, developers can run longer conversations on cheaper hardware. This trend prioritizes inference efficiency over raw parameter counts.