High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...

So, at decoding time they can generate from the model directly,” said Alisa Liu, lead author on the paper. “We’re not modifying the original language model at all.

So long as there's sufficient overlap in the model's vocabularies, the rate at which the draft model's predictions are ...

These results are a major advance in the reconstruction of speech from neural activity. "But we are still a long way from being able to decode imagined language", concludes the research team.

Université de Genève. "Decoding inner language to treat speech disorders." ScienceDaily. ScienceDaily, 12 January 2022. <www.sciencedaily.com / releases / 2022 / 01 / 220112093712.htm>.