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glm

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JD Tech Talk
JD Tech Talk
Mar 5, 2025 · Artificial Intelligence

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

GLM introduces a unified pretraining framework that combines autoregressive blank‑filling with 2D positional encoding and span‑shuffle, achieving superior performance over BERT, T5 and GPT on a range of NLU and generation tasks such as SuperGLUE, text‑filling, and language modeling.

2D positional encodingNLUautoregressive
0 likes · 27 min read
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Model Perspective
Model Perspective
Dec 4, 2022 · Fundamentals

How Logistic Regression Predicts Titanic Survival: A Step-by-Step R Guide

This article explains logistic regression for binary outcomes, demonstrates its implementation in R with the TitanicSurvival dataset, and interprets the model coefficients showing how gender, age, and passenger class significantly affect survival probability.

RTitanic datasetbinary classification
0 likes · 5 min read
How Logistic Regression Predicts Titanic Survival: A Step-by-Step R Guide