Beyond Large Windows: Master the Art of Contextual Intelligence in LLMs

While LLM context windows are expanding, simply stuffing them with data leads to higher costs and degraded reasoning quality due to the 'lost in the middle' phenomenon. Developers must shift from a 'maximum capacity' mindset to 'intelligent relevance' by implementing strategic summarization and sliding window techniques to maintain high-performance AI agents.