natural language processing – Page 14

What I Read: Minerva, Quantitative Reasoning

By Andrew Fairless on August 4, 2022July 8, 2022

https://ai.googleblog.com/2022/06/minerva-solving-quantitative-reasoning.html Minerva: Solving Quantitative Reasoning Problems with Language ModelsThursday, June 30, 2022Posted by Ethan Dyer and Guy Gur-Ari, Research Scientists, Google Research, Blueshift Team “…we present Minerva, a language modelContinue readingWhat I Read: Minerva, Quantitative Reasoning

What I Read: Against Naive AI Scaling

By Andrew Fairless on July 27, 2022June 27, 2022

https://jacobbuckman.com/2022-06-14-an-actually-good-argument-against-naive-ai-scaling/ An Actually-Good Argument Against Naive AI ScalingJacob BuckmanPosted on June 14, 2022 “…the debate is whether scaled-up language models in the style of GPT-3 will eventually become general intelligences,Continue readingWhat I Read: Against Naive AI Scaling

What I Read: Text Embeddings Visually Explained

By Andrew Fairless on July 26, 2022July 8, 2022

https://txt.cohere.ai/text-embeddings/ Text Embeddings Visually ExplainedMeor AmerJun 28, 2022 “We take a visual approach to gain an intuition behind text embeddings, what use cases they are good for, and how theyContinue readingWhat I Read: Text Embeddings Visually Explained

What I Read: Applying BERT to Speech

By Andrew Fairless on June 27, 2022June 27, 2022

https://thegradient.pub/an-illustrated-tour-of-applying-bert-to-speech-data/ An Illustrated Tour of Applying BERT to Speech DataJonathan Boigne10.May.2022 “Could we replace the text input in BERT with a speech sequence, mask a part of it, and similarlyContinue readingWhat I Read: Applying BERT to Speech

What I Read: Learning, not Enough Data Part 3

By Andrew Fairless on June 1, 2022May 23, 2022

https://lilianweng.github.io/posts/2022-04-15-data-gen/ Learning with not Enough Data Part 3: Data GenerationApril 15, 2022Lilian Weng “Here comes the Part 3 on learning with not enough data (Previous: Part 1 and Part 2).Continue readingWhat I Read: Learning, not Enough Data Part 3

What I Read: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval

By Andrew Fairless on May 31, 2022April 25, 2022

https://hazyresearch.stanford.edu/blog/2022-04-19-contrastive-3 TABi: Type-Aware Bi-Encoders for Open-Domain Entity RetrievalApr 19, 2022Megan Leszczynski, Dan Fu, Mayee Chen, and Chris Ré. “We introduce a method to improve retrieval of rare entities by incorporatingContinue readingWhat I Read: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval

What I Read: Understanding, Simple AI

By Andrew Fairless on May 24, 2022April 25, 2022

https://www.quantamagazine.org/researchers-glimpse-how-ai-gets-so-good-at-language-processing-20220414/ Researchers Gain New Understanding From Simple AIMordechai RorvigStaff WriterApril 14, 2022 “Language processing programs are notoriously hard to interpret, but smaller versions can provide important insights into how theyContinue readingWhat I Read: Understanding, Simple AI

What I Read: Will Transformers Take Over Artificial Intelligence?

By Andrew Fairless on April 26, 2022March 12, 2022

https://www.quantamagazine.org/will-transformers-take-over-artificial-intelligence-20220310/ Will Transformers Take Over Artificial Intelligence?A simple algorithm that revolutionized how neural networks approach language is now taking on vision as well. It may not stop there.Stephen OrnesContributing WriterMarchContinue readingWhat I Read: Will Transformers Take Over Artificial Intelligence?

What I Read: One Voice Detector to Rule Them All

By Andrew Fairless on April 18, 2022March 12, 2022

https://thegradient.pub/one-voice-detector-to-rule-them-all/ One Voice Detector to Rule Them All19.Feb.2022Alexander VeysovDimitrii Voronin “In our work we are often surprised by the fact that most people know about Automatic Speech Recognition (ASR), butContinue readingWhat I Read: One Voice Detector to Rule Them All

What I Read: Textless NLP

By Andrew Fairless on April 13, 2022March 12, 2022

https://ai.facebook.com/blog/textless-nlp-generating-expressive-speech-from-raw-audio Textless NLP: Generating expressive speech from raw audioSeptember 9, 2021 “GSLM leverages recent breakthroughs in representation learning, allowing it to work directly from only raw audio signals… for potentiallyContinue readingWhat I Read: Textless NLP

Tag: natural language processing