XDA Developers on MSN
I'm running a 120B local LLM on 24GB of VRAM, and now it powers my smart home
Paired with Whisper for quick voice to text transcription, we can transcribe text, ship the transcription to our local LLM, and then get a response back. With gpt-oss-120b, I manage to get about 20 ...
Abstract: It is challenging to extend the support region of state-of-the-art local edge-preserving filtering approaches to the entire input image on account of huge memory cost and heavy computational ...
Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...
One challenge in large scale data science is that even linear algorithms can result in large data processing cost and long latency, which limit the interactivity of the system and the productivity of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results