Fixed

Selecting the Best Model Size and Dataset Size under a Fixed Budget for LLMs

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...

The Hidden Trap of Fixed and Random Effects

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...

Improve your Gradient Descent: The Epic Quest for the Optimal Stride Contents Introduction Method 1: Fixed Step Size Method 2: Exact Line Search Method 3: Backtracking Line Search Conclusion

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....

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