LCLMs cut LLM context 16x, speeding outputs 8.8x without accuracy collapse
NYU-led research compresses input before the decoder prefill, shrinking compute and memory costs for long-context agents.
By Yousef Al-Zahrani·· 5 min
1 briefing · “long-context”
NYU-led research compresses input before the decoder prefill, shrinking compute and memory costs for long-context agents.