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Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training

Marktechpost

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Association for Computational Linguistics. Shijie Wu and Mark Dredze.

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The State of Multilingual AI

Sebastian Ruder

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. Opportunity #3: Specialization Rich Sutton highlights a bitter lesson for the field of AI research: "The great power of general purpose methods [.]

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2022: We reviewed this year’s AI breakthroughs

Applied Data Science

The first computational linguistics methods tried to bypass the immense complexity of human language learning by hard-coding syntax and grammar rules in their models. Games are fun; but this is only part of the reason of why AI researchers are obsessed with them. What happened?