Model7d ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention mechanisms now define the latest open-weight releases. Gemma 4 and DeepSeek V4 implement these techniques to reduce memory overhead during inference. This shift allows models to handle massive contexts without linear hardware cost increases. Practitioners can now deploy longer-window applications on more modest GPU clusters.