Svdquant Demo

Summary

A new post-training training quantization paradigm for diffusion models, which quantize both the weights and activations of ... On this AI Research Roundup, host Alex dives into a fascinating paper tackling model efficiency: Timestamps: 00:00 - Python Game Test 01:28 - First Look 02:32 - Instructions Used 03:53 - Token Speeds 04:21 - Friendly ... Use depth-aware selection in TimeSplat 4D to limit a selection to a chosen depth range within a Gaussian Splat scan. Explore The ... LLM serving on Kubernetes is moving beyond model sharding. In production, one inference replica may be a coordinated group ... DytanVO is the first supervised learning-based VO method that handles dynamic environments. The work has been accepted to ... Introducing EgoSync-WEAR — a wearable full-body data acquisition kit built specifically for Embodied AI, Imitation Learning, and ... My talk from the DAC 63 Exhibitor Forum panel "Scaling AI for Chip Design: Platforms and Infrastructure." We're building ... Code will be published at github.com/zhangqianhui/Sawn. How Intsig Serves Billions of Document Scans: GPU Virtualization at Scale with HAMi Mengxuan Li, Dynamia.ai & Walter Duan, ... PennyLane lead developer Nathan Killoran gives an overview of variational quantum algorithms such as VQE, QAOA, QGANs, ... Ooof! Well you guys asked for it, and it's up there in complexity for this channel! XD In this video I demonstrate how CPU ...