Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

The optimal design problem is specified in Section 3 with emphasis on the particularities and differences to optimal design of experiments in classical linear models. Subsequently, different ...

Different types of multivariable analysis: generalized linear models Generalized linear models (GLMs, table 2) are a flexible and powerful class of statistical models widely used in multivariable ...

The asymptotics of the sequences of designs and maximum likelihood estimates generated by the adaptive algorithm is studied for an important class of nonlinear regression models: generalized linear ...

Understanding the General Linear Model is essential for conducting rigorous statistical analyses, making informed inferences about relationships between variables, and developing predictive models.