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Faster LLMs with Multi-Token Prediction

In this AI Research Roundup episode, Alex discusses the paper: 'Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential(2507.11851v1)' This research tackles the slow, one-token-at-a-time generation speed of autoregressive language models. The paper reveals that LLMs already have an implicit knowledge of future tokens and proposes a new framework to leverage it. By using a novel masked-input formulation and a "Gated LoRA" fine-tuning technique, their method allows an LLM to predict multiple future tokens simultaneously. This approach significantly speeds up text generation without degrading the base model's original performance. Paper URL: https://arxiv.org/pdf/2507.11851 #AI #MachineLearning #DeepLearning #LLM #Inference #TokenPrediction #AutoregressiveModels