<img width="578" height="325" src="https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?w=578" class="attachment-single-feed size-single-feed wp-post-image" alt="Robot signal to noise" decoding="async" loading="lazy" srcset="https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg 1200w, https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?resize=300,169 300w, https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?resize=768,432 768w, https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?resize=800,450 800w, https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?resize=400,225 400w, https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?resize=750,422 750w, https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?resize=578,325 578w, https://venturebeat.com/wp-content/uploads/2024/10/Robot-signal-to-noise.jpg?resize=930,523 930w" sizes="(max-width: 578px) 100vw, 578px">A simple change to the attention mechanism can make LLMs much more effective at finding relevant information in their context window.<a href="https://venturebeat.com/ai/microsofts-differential-transformer-cancels-attention-noise-in-llms/" target="_blank">Read More</a>