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Keeping Up with AI Research and News

Latest research on reinforcement learning w human feedback for language models

Show HN: Some Techniques to Make Your PyTorch Models Train Faster

Understanding the Self-Attention Mechanism of Large Language Models from Scratch

Understanding Large Language Models – A Transformative Reading List

What Are the Different Approaches for Detecting AI-Generated Content?

The new ChatGPT release still fails at basic math

Comparing Different Automatic Image Augmentation Methods in PyTorch

Machine Learning Q and AI – A human vs. ChatGPT explaining ML concepts

Training factually correct LLMs requires vast amounts of factually correct data

Machine Learning and AI Open Source Highlights 2022

Influential Machine Learning Papers of 2022

Noteworthy Deep Learning Papers of 2022

Show HN: Deep Learning Fundamentals – A new, concise resource on learning DL&AI

Language Transformers, Fast and Slow

A Diffusion of Innovations – Some thoughts on the latest diffusion models

A Short Chronology of Deep Learning for Tabular Data

No, We Don't Have to Choose Batch Sizes as Powers of 2

Sharing Deep Learning Research Models with Lightning: Leveraging the Cloud

Model evaluation and selection in machine learning

Machine Learning – About Model Evaluation

Intro to Machine Learning Video Tutorial from SciPy 2016

What's the deal with regularization in logistic regression?

Equation-compilation of common ML algorithms and topics [pdf]