Categories: AI/ML Research

A Gentle Introduction to Learning Rate Schedulers

Ever wondered why your neural network seems to get stuck during training, or why it starts strong but fails to reach its full potential? The culprit might be your learning rate – arguably one of the most important hyperparameters in machine learning.

Using Learning Rate Schedule in PyTorch Training

Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. It has been well established that you can achieve increased performance and faster training on some problems by using a learning rate that changes…

February 22, 2023

In "AI/ML Research"

The Role of Domain Knowledge in Machine Learning: Why Subject Matter Experts Matter

Machine learning (ML) is considered the largest subarea of artificial intelligence (AI) , studying the development of software systems that learn from data by themselves to perform a task, without being explicitly programmed with the instructions to address it.

February 12, 2025

In "AI/ML Research"

How to Speed-Up Training of Language Models

This article is divided into four parts; they are: • Optimizers for Training Language Models • Learning Rate Schedulers • Sequence Length Scheduling • Other Techniques to Help Training Deep Learning Models Adam has been the most popular optimizer for training deep learning models.

December 1, 2025

In "AI/ML Research"

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