Categories: AI/ML Research

A Gentle Introduction to Attention Masking in Transformer Models

This post is divided into four parts; they are: • Why Attention Masking is Needed • Implementation of Attention Masks • Mask Creation • Using PyTorch’s Built-in Attention In the

Preparing Data for BERT Training

This article is divided into four parts; they are: • Preparing Documents • Creating Sentence Pairs from Document • Masking Tokens • Saving the Training Data for Reuse Unlike decoder-only models, BERT's pretraining is more complex.

November 25, 2025

In "AI/ML Research"

Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models

September 24, 2022

In "FAANG"

A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention

This post is divided into three parts; they are: • Why Attention is Needed • The Attention Operation • Multi-Head Attention (MHA) • Grouped-Query Attention (GQA) and Multi-Query Attention (MQA) Traditional neural networks struggle with long-range dependencies in sequences.

June 20, 2025

In "AI/ML Research"

AI Generated Robotic Content