all AI news
Microsoft’s GeckOpt Optimizes Large Language Models: Enhancing Computational Efficiency with Intent-Based Tool Selection in Machine Learning Systems
MarkTechPost www.marktechpost.com
Large language models (LLMs) are the backbone of numerous computational platforms, driving innovations that impact a broad spectrum of technological applications. These models are pivotal in processing and interpreting vast amounts of data, yet they are often hindered by high operational costs and inefficiencies related to system tool utilization. Optimizing LLM performance without prohibitive computational […]
The post Microsoft’s GeckOpt Optimizes Large Language Models: Enhancing Computational Efficiency with Intent-Based Tool Selection in Machine Learning Systems appeared first on MarkTechPost.
ai paper summary ai shorts applications artificial intelligence computational costs data driving editors pick efficiency impact innovations language language model language models large language large language model large language models learning systems llms machine machine learning microsoft pivotal platforms processing spectrum staff systems tech news technology tool vast