natural language processing – Page 18

What I Read: AI for good, think form extraction

By Andrew Fairless on February 5, 2021January 10, 2021

http://jonathanstray.com/to-apply-ai-for-good-think-form-extraction To apply AI for good, think form extractionPosted on October 24, 2020 Author Jonathan Stray “Folks who want to use AI/ML for good generally think of things like buildingContinue readingWhat I Read: AI for good, think form extraction

What I Read: This AI learns by reading the web

By Andrew Fairless on January 25, 2021December 31, 2020

https://www.technologyreview.com/2020/09/04/1008156/knowledge-graph-ai-reads-web-machine-learning-natural-language-processing/ This know-it-all AI learns by reading the entire web nonstopDiffbot is building the biggest-ever knowledge graph by applying image recognition and natural-language processing to billions of web pages.Will DouglasContinue readingWhat I Read: This AI learns by reading the web

What I Read: Transformer Architecture

By Andrew Fairless on January 21, 2021December 29, 2020

https://blog.exxactcorp.com/a-deep-dive-into-the-transformer-architecture-the-development-of-transformer-models/ Deep LearningA Deep Dive Into the Transformer Architecture – The Development of Transformer ModelsMarketing, July 14, 2020 0 11 min readTransformers for Natural Language Processing “There’s no better timeContinue readingWhat I Read: Transformer Architecture

What I Read: Progress of Natural Language Processing

By Andrew Fairless on January 5, 2021December 22, 2020

https://blog.exxactcorp.com/the-unreasonable-progress-of-deep-neural-networks-in-natural-language-processing-nlp/ Deep LearningThe Unreasonable Progress of Deep Neural Networks in Natural Language Processing (NLP)Marketing, June 2, 2020 0 14 min read “With the advent of pre-trained generalized language models, weContinue readingWhat I Read: Progress of Natural Language Processing

What I Read: GPT-3, a Giant Step for NLP

By Andrew Fairless on January 3, 2021December 22, 2020

https://anotherdatum.com/gpt-3.html GPT-3, a Giant Step for Deep Learning And NLPPosted on 03 June 2020 “…OpenAI announced a new successor to their Language Model (LM) – GPT-3. This is the largestContinue readingWhat I Read: GPT-3, a Giant Step for NLP

What I Read: Differentiable Reasoning over Text

By Andrew Fairless on January 1, 2021December 22, 2020

https://blog.ml.cmu.edu/2020/05/15/differentiable-reasoning-over-text/ Differentiable Reasoning over TextAuthorsBhuwan DhingraPublishedMay 15, 2020 “Modern search engines not only retrieve a list of pages relevant to a query but often try to directly answer our questionsContinue readingWhat I Read: Differentiable Reasoning over Text

What I Read: GPT-3, The New Mighty Language Model

By Andrew Fairless on December 28, 2020December 20, 2020

https://towardsdatascience.com/gpt-3-the-new-mighty-language-model-from-openai-a74ff35346fc?gi=a6255cca8370 GPT-3: The New Mighty Language Model from OpenAIPushing Deep Learning to the Limit with 175B ParametersMoiz SaifeeMay 31 “While this type of transfer learning obviates the need to useContinue readingWhat I Read: GPT-3, The New Mighty Language Model

What I Read: Self Supervised Representation Learning in NLP

By Andrew Fairless on December 28, 2020December 20, 2020

https://amitness.com/2020/05/self-supervised-learning-nlp/ Self Supervised Representation Learning in NLPPublished May 23, 2020 in nlp “While Computer Vision is making amazing progress on self-supervised learning only in the last few years, self-supervised learningContinue readingWhat I Read: Self Supervised Representation Learning in NLP

What I Read: Neural Networks to Find Answers in Tables

By Andrew Fairless on December 24, 2020December 13, 2020

https://ai.googleblog.com/2020/04/using-neural-networks-to-find-answers.html?ref=hvper.com Using Neural Networks to Find Answers in TablesThursday, April 30, 2020Posted by Thomas Müller, Software Engineer, Google Research “Much of the world’s information is stored in the form ofContinue readingWhat I Read: Neural Networks to Find Answers in Tables

What I Read: Reformer efficient Transformer

By Andrew Fairless on December 10, 2020December 13, 2020

https://towardsdatascience.com/illustrating-the-reformer-393575ac6ba0?gi=34b920510f6f Illustrating the ReformerThe efficient TransformerAlireza DirafzoonFeb 4 “Recently, Google introduced the Reformer architecture, a Transformer model designed to efficiently handle processing very long sequences of data (e.g. up toContinue readingWhat I Read: Reformer efficient Transformer

Tag: natural language processing