AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 7 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 systematically categorizes representative methods across a wide range of downstream tasks, including image classification, dense visual prediction, instance-level perception, and annotation-scarce scenarios, and proposes a three-tier progressive framework that organizes existing works from three perspectives.
Instella-MoE is introduced, a fully open Mixture-of-Experts (MoE) language model with 16 billion total parameters and 2.8 billion active parameters per token trained entirely from scratch on AMD Instinct MI300X and MI325X GPUs, establishing a strong, fully open foundation for efficient, high-performing MoE models and r...
FlashRT is presented, an agent harness that guides coding agents to lift simple developer-written reference implementations into optimized multi-GPU deployments that flexibly weigh target metrics like latency and throughput, demonstrating that agent-driven optimization can be more scalable on platforms with less mature...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.