April 13, 2024, 8 a.m. | Nikhil

MarkTechPost www.marktechpost.com

Causal learning delves into the foundational principles governing data distributions in the real world, influencing the operational effectiveness of artificial intelligence. The capacity of AI models to comprehend causality impacts their abilities to justify decisions, adapt to new data, and hypothesize alternative realities. Despite the rising interest in large language models (LLMs), evaluating their ability […]


The post Advancing AI’s Causal Reasoning: Hong Kong Polytechnic University and Chongqing University Researchers Develop CausalBench for LLM Evaluation appeared first on MarkTechPost.

adapt ai models ai paper summary ai shorts applications artificial artificial intelligence capacity causal causality data decisions editors pick evaluation foundational hong kong impacts intelligence kong language model large language model llm reasoning researchers staff tech news technology university world

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

Business Intelligence Manager

@ Sanofi | Budapest

Principal Engineer, Data (Hybrid)

@ Homebase | Toronto, Ontario, Canada