Abstract: Sparsification and low-rank decomposition are two important techniques to compress deep neural network (DNN) models. To date, these two popular yet distinct approaches are typically used in ...

Given a task in the form of a basic description and its training examples, prompt optimization is the problem of synthesizing the given information into a text prompt for a large language model (LLM).

Finally, the code for the web UI client used in the Moshi demo is provided in the client/ directory. If you want to fine tune Moshi, head out to kyutai-labs/moshi ...

Abstract: Engineering projects are vulnerable to opportunistic behavior due to their one-off and uncertain nature. Contractual governance is the crucial mechanism for matching the two key project ...

SINGAPORE, Dec 17 (Reuters) - In a high-security Shenzhen laboratory, Chinese scientists have built what Washington has spent years trying to prevent: a prototype of a machine capable of producing the ...

HOUSTON, Dec 18 (Reuters) - Energy Transfer (ET.N), opens new tab said on Thursday it was suspending the development of its Lake Charles liquefied natural gas export facility in Louisiana, the first ...