GLM

Definition

In statistical modeling, GLM stands for Generalized Linear Models, which extend linear regression to allow for response variables with error distribution models other than normal distributions. In the context of modern AI, GLM often refers to the General Language Model developed by Tsinghua University and Zhipu AI, a family of large language models that utilize a novel prefix-lm architecture for bidirectional understanding and autoregressive generation, achieving state-of-the-art performance on various NLP benchmarks.

Summary

GLM typically refers to Generalized Linear Models in statistics or the General Language Model series developed by Zhipu AI.

Key Concepts

• Generalized Linear Models
• Large Language Models
• Prefix-LM
• Bidirectional encoding

Use Cases

• Statistical prediction
• Natural language processing
• Text generation

Related Terms

• Transformer
• BERT
• Linear Regression