May 2, 2024, 7:45 a.m. | Sana Hassan

MarkTechPost www.marktechpost.com

The development of natural language processing has been significantly propelled by the advancements in large language models (LLMs). These models have showcased remarkable performance in tasks like translation, question answering, and text summarization, proving their efficiency in generating high-quality text. However, despite their effectiveness, one major limitation remains their slow inference speed, which hinders their […]


The post Huawei AI Introduces ‘Kangaroo’: A Novel Self-Speculative Decoding Framework Tailored for Accelerating the Inference of Large Language Models appeared first on MarkTechPost …

ai paper summary ai shorts applications artificial intelligence decoding development editors pick efficiency framework however huawei inference language language model language models language processing large language large language model large language models llms natural natural language natural language processing novel performance processing quality question question answering staff summarization tasks tech news technology text text summarization translation

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