natural language processing – Page 14

What I Read: Generative AI

By Andrew Fairless on November 17, 2022September 27, 2022

Generative AI: A Creative New World Generative AI: A Creative New WorldBy Sonya Huang, Pat Grady and GPT-3Published September 19, 2022 “The fields that generative AI addresses—knowledge work and creativeContinue readingWhat I Read: Generative AI

What I Read: Productizing Large Language Models

By Andrew Fairless on November 16, 2022September 27, 2022

https://blog.replit.com/llms Productizing Large Language ModelsWed Sep 21 2022by Amjad Masad, Samip Dahal, Luis Héctor Chávez “Large Language Models (LLMs)… can chat, write poetry, write code, and even do basic arithmetic.Continue readingWhat I Read: Productizing Large Language Models

What I Read: Career in NLP

By Andrew Fairless on November 15, 2022September 27, 2022

Growing a Career in NLP with Primer’s Amy Heineike Growing a Career in NLP with Primer’s Amy Heineike11.16.21 “What if all you needed to jumpstart your career passions was…boredom? That’sContinue readingWhat I Read: Career in NLP

What I Read: Zero-Shot, K-Shot Learning

By Andrew Fairless on October 18, 2022September 9, 2022

https://www.datature.io/blog/zero-shot-and-k-shot-learning Comprehensive Guide to Zero-Shot and K-Shot LearningLeonard SoAugust 23, 2022 “Few-shot learning is a type of supervised learning that is intended to rapidly generalise to new tasks containing onlyContinue readingWhat I Read: Zero-Shot, K-Shot Learning

What I Read: AI, Limits, Language

By Andrew Fairless on October 12, 2022September 9, 2022

https://www.noemamag.com/ai-and-the-limits-of-language/AI And The Limits Of LanguageBy Jacob Browning and Yann LeCunAugust 23, 2022 “An artificial intelligence system trained on words and sentences alone will never approximate human understanding.”

What I Read: Emergent Features

By Andrew Fairless on October 6, 2022August 22, 2022

LLM.int8() and Emergent Features LLM.int8() and Emergent Features2022-08-17 by Tim Dettmers “…I use advanced quantization methods to achieve no performance degradation transformer inference at scale that makes large models moreContinue readingWhat I Read: Emergent Features

What I Read: Self-Taught AI, Brain

By Andrew Fairless on October 4, 2022August 22, 2022

https://www.quantamagazine.org/self-taught-ai-shows-similarities-to-how-the-brain-works-20220811/ Self-Taught AI Shows Similarities to How the Brain WorksAnil AnanthaswamyContributing WriterAugust 11, 2022 “Self-supervised learning allows a neural network to figure out for itself what matters. The process mightContinue readingWhat I Read: Self-Taught AI, Brain

What I Read: Robot Learned, Scraping Web

By Andrew Fairless on September 28, 2022August 22, 2022

https://www.wired.com/story/google-robot-learned-to-take-orders-by-scraping-the-web/ Google’s New Robot Learned to Take Orders by Scraping the WebWill KnightBusinessAug 16, 2022 10:00 AM “The machine learning technique that taught notorious text generator GPT-3 to write canContinue readingWhat I Read: Robot Learned, Scraping Web

What I Read: BLOOM Training

By Andrew Fairless on September 12, 2022August 3, 2022

https://huggingface.co/blog/bloom-megatron-deepspeed The Technology Behind BLOOM TrainingStas BekmanPublished July 14, 2022. “…training ever larger language models has become the norm… the hidden knowledge about how to train such models rarely getsContinue readingWhat I Read: BLOOM Training

What I Read: Transformers in computer vision

By Andrew Fairless on September 6, 2022August 3, 2022

https://theaisummer.com/transformers-computer-vision/ Transformers in computer vision: ViT architectures, tips, tricks and improvementsNikolas Adaloglouon2021-10-21 “You are probably already aware of the Vision Transformer (ViT)…. We will address questions like how can youContinue readingWhat I Read: Transformers in computer vision

Tag: natural language processing