zero-shot – Andrew Fairless, Ph.D.

What I Read: Few-Shot Learning

By Andrew Fairless on September 12, 2023September 4, 2023

https://saturncloud.io/blog/breaking-the-data-barrier-how-zero-shot-one-shot-and-few-shot-learning-are-transforming-machine-learning/ Breaking the Data Barrier: How Zero-Shot, One-Shot, and Few-Shot Learning are Transforming Machine LearningBy Christophe AttenWednesday, May 17, 2023 “The improvements made over the last almost two decades haveContinue readingWhat I Read: Few-Shot Learning

What I Read: Few Shot, Recommenders, LLMs

By Andrew Fairless on May 30, 2023May 1, 2023

https://blog.reachsumit.com/posts/2023/04/llm-for-recsys/ Zero and Few Shot Recommender Systems based on Large Language ModelsSumit Kumar2023-04-10 “Many researchers have recently proposed different approaches to building recommender systems using LLMs. These methods convert differentContinue readingWhat I Read: Few Shot, Recommenders, LLMs

What I Read: Prompt Engineering

By Andrew Fairless on May 25, 2023May 1, 2023

https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/ Prompt EngineeringLilian WengMarch 15, 2023 “Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes withoutContinue readingWhat I Read: Prompt Engineering

What I Read: Pre-Trained Models, Robotics

By Andrew Fairless on December 21, 2022November 5, 2022

https://sergeylevine.substack.com/p/general-purpose-pre-trained-models General-Purpose Pre-Trained Models in RoboticsCan we (pre-) train policies to control any robot for any task?Sergey LevineOct 16 “In robotics, learning policies from a small amount of data isContinue readingWhat I Read: Pre-Trained Models, Robotics

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 Learn: Meta-Learning, Keyphrase Extraction

By Andrew Fairless on January 18, 2022December 11, 2021

https://sinequa.medium.com/meta-learning-for-keyphrase-extraction-54ec960cd2ba Meta-Learning for Keyphrase ExtractionSinequaSep 6 “KeyPhrase Extraction (KPE) is the process of extracting relevant chunks of words from a document to best capture and represent its content…. we outlineContinue readingWhat I Learn: Meta-Learning, Keyphrase Extraction

What I Read: Zero-Shot Learning

By Andrew Fairless on May 6, 2021April 13, 2021

https://www.kdnuggets.com/2021/04/zero-shot-learning.html Zero-Shot Learning: Can you classify an object without seeing it before?Developing machine learning models that can perform predictive functions on data it has never seen before has become anContinue readingWhat I Read: Zero-Shot Learning

What I Read: Language Model Fine-tuning

By Andrew Fairless on March 26, 2021March 7, 2021

https://ruder.io/recent-advances-lm-fine-tuning/ Recent Advances in Language Model Fine-tuningThis article provides an overview of recent methods to fine-tune large pre-trained language models.Sebastian Ruder24 Feb 2021 “While pre-training is compute-intensive, fine-tuning can beContinue readingWhat I Read: Language Model Fine-tuning

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

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