In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model to be related …

Dec 8, 2025 · GLM-4.6V is equipped with native multimodal tool calling capability: Multimodal Input: Images, screenshots, and document pages can be passed directly as tool parameters …

Jul 23, 2025 · A Generalized Linear Model (GLM) builds on top of linear regression but offers more flexibility. Think of it like this: instead of forcing your data to follow a straight line and …

Jul 15, 2025 · Generalized Linear Models (GLMs) are a class of regression models that can be used to model a wide range of relationships between a response variable and one or more …

A generalized linear model (GLM) generalizes normal linear regression models in the following directions. g called link function and μ = IE(Y |X). In the early stages of a disease epidemic, …

In The Linear Model chapter we discussed different common probability distributions. You are encouraged to reference that section, because ultimately these different probability …

Mar 13, 2025 · GLMs are widely used in various fields such as biostatistics, economics, social sciences, and machine learning. They provide a flexible method for modeling diverse data …

5 days ago · Z.ai has released GLM-4.6V, a multimodal model that has introduced native visual function calling to bypass text conversion in agentic workflows.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data.

Overview GLM-4.6V series are Z.ai’s iterations in a multimodal large language model. GLM-4.6V scales its context window to 128k tokens in training, and achieves SoTA performance in visual …