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EAGLE 3.1, developed by the EAGLE team, vLLM, and TorchSpec, tackles attention drift in LLM inference, enhancing speculative decoding stability for production use.
Learn how speculative decoding helps AI systems generate text faster without losing accuracy, using a fast guess-and-check method.
