Feb. 7, 2024, 11 a.m. | Adnan Hassan

MarkTechPost www.marktechpost.com

Large language models (LLMs) have profoundly transformed the landscape of artificial intelligence (AI) in natural language processing (NLP). These models can understand and generate human-like text, representing a pinnacle of current AI research. Yet, the computational intensity required for their operation, particularly during inference, presents a formidable challenge. This issue is exacerbated as models grow […]


The post This AI Paper from Alibaba Introduces EE-Tuning: A Lightweight Machine Learning Approach to Training/Tuning Early-Exit Large Language Models (LLMs) appeared first on …

ai paper ai research ai shorts alibaba applications artificial artificial intelligence computational current editors pick exit generate human human-like intelligence intensity landscape language language models language processing large language large language models llms machine machine learning natural natural language natural language processing nlp paper processing research staff tech news technology text training

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US