March 9, 2024, 2 a.m. | Adnan Hassan

MarkTechPost www.marktechpost.com

The relentless advancement in natural language processing (NLP) has ushered in an era of large language models (LLMs) capable of performing various complex tasks with unprecedented accuracy. These models, however, come at the cost of extensive computational and memory requirements, limiting their deployment in resource-constrained environments. A promising solution to mitigate these limitations lies in […]


The post EasyQuant: Revolutionizing Large Language Model Quantization with Tencent’s Data-Free Algorithm appeared first on MarkTechPost.

accuracy advancement ai paper summary ai shorts algorithm applications artificial intelligence computational cost data deployment editors pick environments free however language language model language models language processing large language large language model large language models llms memory natural natural language natural language processing nlp processing quantization requirements solution staff tasks tech news technology tencent

More from www.marktechpost.com / MarkTechPost

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A