natural language processing – Page 15

What I Read: Large Language Models

By Andrew Fairless on August 31, 2022August 3, 2022

https://leighmariebraswell.substack.com/p/overview-and-applications-of-large Overview & Applications of Large Language Models (LLMs)From perspective of an investor & previous early-stage operator in the spaceLeigh Marie BraswellJul 15 “Github’s Copilot product is an example ofContinue readingWhat I Read: Large Language Models

What I Read: Mimicry, Artificial Intelligence

By Andrew Fairless on August 11, 2022July 8, 2022

Moving Beyond Mimicry in Artificial Intelligence Moving Beyond Mimicry in Artificial IntelligenceWhat makes pre-trained AI models so impressive—and potentially harmful.Raphaël MillièreJuly 1, 2022 “Sufficiently advanced mimicry is virtually indistinguishable fromContinue readingWhat I Read: Mimicry, Artificial Intelligence

What I Read: DALL·E 2, Explained

By Andrew Fairless on August 8, 2022June 27, 2022

https://towardsdatascience.com/dall-e-2-explained-the-promise-and-limitations-of-a-revolutionary-ai-3faf691be220 DALL·E 2, Explained: The Promise and Limitations of a Revolutionary AIWith images and videos that you most likely haven’t seen.Alberto RomeroJun 16 “DALL·E 2 is the newest AI modelContinue readingWhat I Read: DALL·E 2, Explained

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

Tag: natural language processing