June 24, 2024, 7:49 a.m. | Bala Madhusoodhanan

DEV Community dev.to




Intro:


I had the privilege of serving as a panelist, discussing the decision-making process in the design of systems that utilize machine learning/AI to enhance efficiency. During my preparation, I discovered an insightful paper that provided valuable clarity. I highly recommend giving this paper a read.





Double Edge Sword - Paradox:


The computational demands of large language models are astonishingly high—some facts about their power consumption are truly staggering. Here are a few that will offer some perspective


1.Training …

ai awareness computational decision design edge efficiency giving greensoftware intro machine machine learning making paper paradox power process systems

AI Focused Biochemistry Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, CA

Senior Data Engineer

@ Displate | Warsaw

Senior Backend Eng for the Cloud Team - Yehud or Haifa

@ Vayyar | Yehud, Center District, Israel

Business Applications Administrator (Google Workspace)

@ Allegro | Poznań, Poland

Backend Development Technical Lead (Demand Solutions) (f/m/d)

@ adjoe | Hamburg, Germany

Front-end Engineer

@ Cognite | Bengaluru