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DSpark: New technique accelerates language model inference through speculative decoding
DeepSeek has published DSpark, a method that uses speculative decoding to make inference on large language models faster. The technique allows smaller models to make guesses that larger models validate, reducing computational costs.
WHY IT MATTERS
Faster inference is critical for practical use of LLMs in production. If DSpark achieves significant speed gains, it could lower the costs of running advanced models and make AI services more accessible.
SOURCES
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