March 29, 2024, 11 a.m. | Sajjad Ansari

MarkTechPost www.marktechpost.com

In large language models (LLMs), the landscape of pretraining data is a rich blend of diverse sources. It spans from common English to less common languages, including casual conversations and scholarly texts, and even extends to modalities like images and speeches. Within this mix, the data interact in complex ways, sometimes aligning well, diverging, and […]


The post How to Precisely Predict Your AI Model’s Performance Before Training Begins? This AI Paper from China Proposes Data Mixing Laws appeared first …

ai model ai paper ai paper summary ai shorts applications artificial intelligence blend china conversations data diverse editors pick english images landscape language language model language models languages large language large language model large language models laws llms paper performance pretraining s performance staff tech news technology training

More from www.marktechpost.com / MarkTechPost

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Consultant - Artificial Intelligence & Data (Google Cloud Data Engineer) - MY / TH

@ Deloitte | Kuala Lumpur, MY