Improving LLM inference speeds on CPUs with model quantization | by Eduardo Álvarez | February 2024
Image property of the author — Create with NightcafeLearn how to significantly improve inference latency on CPUs using quantization techniques ...
Image property of the author — Create with NightcafeLearn how to significantly improve inference latency on CPUs using quantization techniques ...
Underwater image processing combined with machine learning offers significant potential to improve the capabilities of underwater robots in various marine ...
Since the early days when universities experimented with teaching over the Internet, the goal has been to replicate the physical ...
High-vision language models (VLMs) trained to understand vision have demonstrated viability in broad scenarios such as visual question answering, visual ...
Imagine that you are a mountaineer. Nothing excites you more than testing your skill, strength and endurance against some of ...
Pretrained on trillion-token corpuses, large neural language models (LLMs) have made notable gains in performance (Touvron et al., 2023a; Geng ...
THIS IS YOSSINGKUM Initial public offering activity in the US is likely to continue improving throughout this year, according to ...
<img src="http://bitcoinmagazine.com/.image/c_limit%2Ccs_srgb%2Cfl_progressive%2Ch_1200%2Cq_auto:good%2Cw_1200/MTc5Mjk3ODQ5OTYzNjUyNzU5/bitcoin-core-developer-eric-lombrozo-on-misunderstandings-in-block-size-debate.jpg" />Today, Citrea team reveals Citrea, the inaugural ZK Rollup designed to elevate the capabilities of the bitcoin blockchain ...
Using a vision-inspired keyword detection framework, we propose an architecture with input-dependent dynamic depth capable of processing audio streaming. Specifically, ...
Recently, super-resolution (SR) techniques have been proposed to improve neural radiation fields (NeRF) outputs and generate high-quality images with improved ...