Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

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NLP People

JANUARY 2, 2019

Hundreds of researchers, students, recruiters, and business professionals came to Brussels this November to learn about recent advances, and share their own findings, in computational linguistics and Natural Language Processing (NLP). 7-Have we Finally Solved Machine Translation?

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BERT Natural Language Processing Computational Linguistics NLP 52

Sebastian Ruder

AUGUST 18, 2019

Throughout its history, most of the major improvements on this task have been driven by different forms of transfer learning: from early self-supervised learning with auxiliary tasks ( Ando and Zhang, 2005 ) and phrase & word clusters ( Lin and Wu, 2009 ) to the language model embeddings ( Peters et al., 2018 ; Akbik et al.,

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Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. 2340–2354). Winata, G.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Sebastian Ruder

DECEMBER 6, 2021

RC Olympics: The many domains of reading comprehension Datasets in the Fiction domain typically require processing narratives in books such as NarrativeQA ( Kočiský et al., 2018 ), Children's Book Test ( Hill et al., 2018 ), Children's Book Test ( Hill et al., 2018 ; Lewis et al.,

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BERT NLP Natural Language Processing Computational Linguistics 52

Explosion

DECEMBER 28, 2019

We had already decided at the end of 2018 that we wanted to do this and after seven months of planning and hard work, we couldn’t have been happier with the result. Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ?

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AWS Machine Learning Blog

MAY 22, 2023

Amazon EBS is well suited to both database-style applications that rely on random reads and writes, and to throughput-intensive applications that perform long, continuous reads and writes. """, """ Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.

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Natural Language Processing Machine Learning Computational Linguistics NLP 110