Introduction
language models (LLMs), we're perpetually constrained by budgets. Such a constraint results in a fundamental trade-off:Imagine that for those who fix a compute budget, increasing the model size signifies that you need to...
What Are Random Effects and Fixed Effects?
When designing a study, we frequently aim to isolate independent variables from those of no interest to watch their true effects on the dependent variables. For instance, let’s...
Techniques for Optimizing Step-Size/Learning Rate in Gradient Descent for Machine LearningIn this text, we familiarised ourselves with a few of the useful techniques to optimize for the step size within the gradient descent algorithm....