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The three levels of NLP for your business

NLP People

According to Gartner’s hype cycle, NLP has reached the peak of inflated expectations in 2018, and many businesses see it as a “go-to” solution to generate value from the 80% of business-relevant data that comes in unstructured form. The folks here often split into two camps — the mathematicians and the linguists.

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Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web

The Stanford AI Lab Blog

Indeed, this recipe of massive, diverse datasets combined with scalable offline learning algorithms (e.g. Replicating these impressive generalization and adaptation capabilities in robot learning algorithms would certainly be a step toward robots that can be used in unstructured, real world environments. Kalashnikov, D., Quillen, D.,

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The State of Multilingual AI

Sebastian Ruder

Initiatives   The Association for Computational Linguistics (ACL) has emphasized the importance of language diversity, with a special theme track at the main ACL 2022 conference on this topic. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. Computational linguistics, 47(2), 255-308.

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Instruction fine-tuning for FLAN T5 XL with Amazon SageMaker Jumpstart

AWS Machine Learning Blog

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Dr. Ashish Khetan is a Senior Applied Scientist with Amazon SageMaker built-in algorithms and helps develop machine learning algorithms. “Scaling instruction-fine tuned language models.”

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ML and NLP Research Highlights of 2021

Sebastian Ruder

In mathematics, ML was shown to be able to guide the intuition of mathematicians in order to discover new connections and algorithms [77]. Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. Schneider, R.,

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AI Distillery (Part 2): Distilling by Embedding

ML Review

Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space. Then, the algorithm proceeds with the following word as the new centre word, i.e. “learning”, sets up the new context, and repeats the same procedure.

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Major trends in NLP: a review of 20 years of ACL research

NLP People

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. The other major challenge is the labeled data bottleneck : strictly speaking, most state-of-the-art algorithms are supervised. 2018) present an excellent overview of the state-of-the-art algorithms.

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