Model7d 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 gain faster inference speeds without sacrificing retrieval accuracy. This trend makes long-document processing commercially viable for smaller, open-weight deployments.