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New KV cache compaction technique cuts LLM memory 50x without accuracy loss
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working memory is stored.A new technique developed by researchers at MIT addresses this challenge with a fast compression method for the KV cache. The technique, called Attention Matching, manages to compact th [...]
TechEx Europe 2026: eight events, 8,000 tech leaders, one enterprise agenda
Most large organisations now have the AI budgets approved and the transformation roadmaps drawn up. The harder question is what actually reaches production. That gap between strategy and delivery is the organising idea behind TechEx Europe 2026, which runs on 19 and 20 October at the RAI Amsterdam and gathers senior enterprise technology leaders from […]<br /> This story continues at The N [...]
