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All Languages Are NOT Created (Tokenized) Equal

Topbots

70% of research papers published in a computational linguistics conference only evaluated English.[ A comprehensive explanation of the BPE algorithm can be found on the HuggingFace Transformers course. In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland.

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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. self-supervised or cheaply supervised learning) has been the backbone of the many recent successes of foundation models 3 in NLP 4 5 6 7 8 9 and vision 10 11 12. Florence: A New Foundation Model for Computer Vision.

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NLP Landscape: Germany (Industry & Meetups)

NLP People

The company utilises algorithms for targeted data collection and semantic analysis to extract fine-grained information from various types of customer feedback and market opinions. Their products are language-agnostic as they use deep learning in the development of their algorithms. For open job positions visit their job section.

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Overcoming The Limitations Of Large Language Models

Topbots

We are quick to attribute intelligence to models and algorithms, but how much of this is emulation, and how much is really reminiscent of the rich language capability of humans? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. 10.48550/arXiv.2212.08120.

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Modular Deep Learning

Sebastian Ruder

As discrete decisions cannot be learned directly with gradient descent, methods learn hard routing via reinforcement learning, evolutionary algorithms, or stochastic re-parametrisation. We first highlight common applications in NLP and then draw analogies to applications in speech, computer vision, and other areas of machine learning.

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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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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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