Feb. 8, 2024, 11:28 a.m. | Ryan Daws

AI News www.artificialintelligence-news.com

A breakthrough approach in enhancing the reasoning abilities of large language models (LLMs) has been unveiled by researchers from Google DeepMind and the University of Southern California. Their new ‘SELF-DISCOVER’ prompting framework – published this week on arXiV and Hugging Face – represents a significant leap beyond existing techniques, potentially revolutionising the performance of leading... Read more »


The post DeepMind framework offers breakthrough in LLMs’ reasoning appeared first on AI News.

agi ai artificial general intelligence artificial intelligence arxiv benchmark beyond california companies deepmind development face framework google google deepmind hugging face language language models large language large language models llm llms paper performance prompting reasoning research researchers university university of southern california

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

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst (Digital Business Analyst)

@ Activate Interactive Pte Ltd | Singapore, Central Singapore, Singapore