embedding – Page 3 – Andrew Fairless, Ph.D.

What I Read: What, Why ChatGPT

By Andrew Fairless on July 12, 2023June 15, 2023

https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ What Is ChatGPT Doing … and Why Does It Work?February 14, 2023Stephen Wolfram “That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, andContinue readingWhat I Read: What, Why ChatGPT

What I Read: Graph Neural Networks

By Andrew Fairless on May 17, 2023March 30, 2023

https://www.assemblyai.com/blog/ai-trends-graph-neural-networks/ AI trends in 2023: Graph Neural NetworksMarco RamponiDeveloper Educator at AssemblyAIMar 21, 2023 “In the last couple of years Graph Neural Networks have quietly become the dark horse behindContinue readingWhat I Read: Graph Neural Networks

What I Read: Relative representations

By Andrew Fairless on April 18, 2023March 30, 2023

https://arxiv.org/abs/2209.15430 Relative representations enable zero-shot latent space communicationLuca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà “…we propose to adopt pairwise similarities as an alternative data representation,Continue readingWhat I Read: Relative representations

What I Read: recommender system architectures

By Andrew Fairless on March 23, 2023February 6, 2023

https://amatriain.net/blog/RecsysArchitectures Blueprints for recommender system architectures: 10th anniversary editionXavier AmatriainJanuary 29, 2023 “Ten years ago, we published a post in the Netflix tech blog explaining our three-tier architectural approach toContinue readingWhat I Read: recommender system architectures

What I Read: Realtime User Actions in Recommendation

By Andrew Fairless on February 27, 2023January 9, 2023

https://medium.com/pinterest-engineering/how-pinterest-leverages-realtime-user-actions-in-recommendation-to-boost-homefeed-engagement-volume-165ae2e8cde8 How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement VolumeXue Xia, Software Engineer, Homefeed Ranking; Neng Gu, Software Engineer, Content & User Understanding; Dhruvil Deven Badani,Continue readingWhat I Read: Realtime User Actions in Recommendation

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: 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

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

Tag: embedding