Stanford and UC Berkeley researchers have released TokenGate, a drop-in module that teaches an existing LLM to prune unimportant tokens from long prompts. In tests up to 128k tokens it cut time-to-first-token by 1.4x to 11.3x and peak memory by up to 3.4x, with no accuracy loss. Code and checkpoints are on GitHub under Apache-2.0. https://www.marktechpost.com/2026/10/25/stanford-berkeley-tokengate-learned-token-pruning-llm-prefill/ #AIresearch #AI #GenAI
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