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Tag: research

A Gentle Introduction to Attention Masking in Transformer Models

by AI Generated Robotic ContentAI/ML ResearchPosted on June 27, 2025Comments are Disabled

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

10 Essential Machine Learning Key Terms Explained

by AI Generated Robotic ContentAI/ML ResearchPosted on June 27, 2025Comments are Disabled

Artificial intelligence (AI) is an umbrella computer science discipline focused on building software systems capable of mimicking human or animal intelligence capabilities to solve a task.

Combining XGBoost and Embeddings: Hybrid Semantic Boosted Trees?

by AI Generated Robotic ContentAI/ML ResearchPosted on June 25, 2025Comments are Disabled

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

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

by AI Generated Robotic ContentAI/ML ResearchPosted on June 24, 2025Comments are Disabled

This post is divided into three parts; they are: • Low-Rank Approximation of Matrices • Multi-head Latent Attention (MLA) • PyTorch Implementation Multi-Head Attention (MHA) and Grouped-Query Attention (GQA) are the attention mechanisms used in almost all transformer models.

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

by AI Generated Robotic ContentAI/ML ResearchPosted on June 24, 2025Comments are Disabled

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

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

by AI Generated Robotic ContentAI/ML ResearchPosted on June 21, 2025Comments are Disabled

Ever felt like trying to find a needle in a haystack? That’s part of the process of building and optimizing machine learning models, particularly complex ones like ensembles and neural networks, where several hyperparameters need to be manually set by us before training them.

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

by AI Generated Robotic ContentAI/ML ResearchPosted on June 20, 2025Comments are Disabled

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.

10 Must-Know Python Libraries for MLOps in 2025

by AI Generated Robotic ContentAI/ML ResearchPosted on June 20, 2025Comments are Disabled

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

Unlocking Performance: Accelerating Pandas Operations with Polars

by AI Generated Robotic ContentAI/ML ResearchPosted on June 19, 2025Comments are Disabled

7 Concepts Behind Large Language Models Explained in 7 Minutes

by AI Generated Robotic ContentAI/ML ResearchPosted on June 18, 2025Comments are Disabled

If you’ve been using large language models like GPT-4 or Claude, you’ve probably wondered how they can write actually usable code, explain complex topics, or even help you debug your morning coffee routine (just kidding!).

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