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…

2 weeks ago

10 Essential Machine Learning Key Terms Explained

Artificial intelligence (AI) is an umbrella computer science discipline focused on building software systems capable of mimicking human or animal…

2 weeks ago

Combining XGBoost and Embeddings: Hybrid Semantic Boosted Trees?

The intersection of traditional machine learning and modern representation learning is opening up new possibilities.

2 weeks ago

A Gentle Introduction to Multi-Head Latent Attention (MLA)

This post is divided into three parts; they are: • Low-Rank Approximation of Matrices • Multi-head Latent Attention (MLA) •…

2 weeks ago

Converting Pandas DataFrames to PyTorch DataLoaders for Custom Deep Learning Model Training

Pandas DataFrames are powerful and versatile data manipulation and analysis tools.

2 weeks ago

Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models

Ever felt like trying to find a needle in a haystack? That’s part of the process of building and optimizing…

3 weeks ago

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…

3 weeks ago

10 Must-Know Python Libraries for MLOps in 2025

MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning…

3 weeks ago

7 Concepts Behind Large Language Models Explained in 7 Minutes

If you've been using large language models like GPT-4 or Claude, you've probably wondered how they can write actually usable…

3 weeks ago