Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

BENGALURU: While many political science classrooms still rely on textbooks written decades ago, and reward rote learning over reflection, the release of Decodin ...

Planning for required minimum distributions can be a nightmare, but failure to do so can lead to costly penalties.

Average decoding scores for modality-agnostic decoders (green), compared to modality-specific decoders trained on data from subjects viewing images (orange) or on data from subjects viewing captions ...

[Note this is an in-progress specification to be used in an upcoming format.] The decoder supports adaptive binary and multi-symbol models, as well as specialized encoding schemes like truncated ...

[Note this is an in-progress specification to be used in an upcoming format.] At a high level, the decoder works by maintaining a current range (defined by a base value and length) within a large ...