March 23, 2024, 4:10 a.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

Aligning large language models (LLMs) involves tuning them to desired behaviors, termed ‘civilizing’ or ‘humanizing.’ While model providers aim to mitigate common harms like hate speech and toxicity, comprehensive alignment is challenging due to diverse contextual requirements. Specific industries and applications demand unique behaviors, such as medical applications requiring sensitivity to body part references and […]


The post IBM’s Alignment Studio to Optimize AI Compliance for Contextual Regulations appeared first on MarkTechPost.

aim ai paper summary ai shorts alignment applications artificial intelligence compliance demand diverse editors pick hate speech ibm industries language language model language models large language large language model large language models llms medical regulations requirements sensitivity speech staff studio tech news technology them toxicity

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Sr. VBI Developer II

@ Atos | Texas, US, 75093

Wealth Management - Data Analytics Intern/Co-op Fall 2024

@ Scotiabank | Toronto, ON, CA