AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 18 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work introduces Farseer, a novel and refined scaling law offering enhanced predictive accuracy across scales, and provides new insights into optimal compute allocation, better reflecting the nuanced demands of modern LLM training.
ParaASR is introduced, an ASR system that leverages Multi-Token Prediction (MTP) to let a 4B LLM decoder emit multiple tokens per forward step and shows that decoder scaling, low-latency inference, and long-context transcription need not be competing goals when future-token proposals are anchored by the acoustic signal...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.