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deepmind.google | ||
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ljvmiranda921.github.io
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| | | | | Large language models showed promise on structured prediction tasks like named entity recognition and text categorization. But how well do they perform when ... | |
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www.thetimes.com
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| | | | | Google showcased its new chatbot called Bard with a basic search error in a move that highlighted a key flaw in AI. Bard was launched this week by Sundar Pichai | |
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www.frontiersin.org
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| | | | | [AI summary] The article discusses the importance of sociolinguistic insights in the development and evaluation of large language models (LLMs). It argues that LLMs should be viewed as models of language use rather than language cognition, emphasizing the need to incorporate sociolinguistic principles into the curation of training data. The paper highlights how sociolinguistic variation and the representation of different language varieties can enhance the societal value of LLMs. It also addresses the challenges of data contamination and evaluation practices in closed-source LLMs, advocating for a more transparent and socially responsible approach to AI development. The authors propose that integrating sociolinguistic theory, particularly the concept of lang... | |
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lucatrevisan.wordpress.com
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| | | (This is the sixth in a series of posts on online optimization techniques and their ``applications'' to complexity theory, combinatorics and pseudorandomness. The plan for this series of posts is to alternate one post explaining a result from the theory of online convex optimization and one post explaining an ``application.'' The first two posts were... | ||
