selfattention

The selfattention tag on WindowsForum.com covers discussions about optimizing self-attention mechanisms in local large language models (LLMs) running on Windows 11. Content focuses on practical tuning of context length in tools like Ollama to improve inference speed on consumer hardware. Recurring themes include balancing GPU utilization, reducing CPU bottlenecks, and adjusting token windows for faster response times without sacrificing accuracy when needed. The tag is relevant for users interested in running LLMs locally on Windows, particularly those seeking performance tweaks related to the self-attention layer's context handling.