Deep learning

Build Portable ML Models with ONNX

...explained with code.

Jan 19 • Avi Chawla

4 Strategies for Multi-GPU Training

...explained visually.

Dec 11, 2025 • Avi Chawla

8 AI Model Architectures, Visually Explained!

must-know for AI engineers!

Dec 4, 2025 • Avi Chawla

6 Types of Contexts for AI Agents

...explained from a context engineering perspective.

Oct 17, 2025 • Avi Chawla

A Memory-efficient Technique to Train Large Models

...that even LLMs like GPTs and LLaMAs use.

Oct 14, 2025 • Avi Chawla

Activation Pruning for Model Compression (with implementation)

Removing 74% neurons with 0.5% accuracy drop.

Oct 2, 2025 • Avi Chawla

How Dropout Actually Works

A lesser-known detail of Dropout.

Sep 10, 2025 • Avi Chawla

Train Neural Nets 4-6x Faster!

Explained with code and visuals.

Sep 8, 2025 • Avi Chawla

6 Graph Feature Engineering Techniques

Must-know for building GNNs.

Jul 31, 2025 • Avi Chawla

DropBlock vs. Dropout for Regularizing CNNs

Addressing a limitation of Dropout when used in CNNs.

Jul 9, 2025 • Avi Chawla

Bias-Variance Tradeoff is Incomplete!

A counterintuitive phenomenon while training ML models.

Jul 7, 2025 • Avi Chawla

Scale ML Models to Billions of Parameters

...with 4 simple changes to your PyTorch code.

Jul 3, 2025 • Avi Chawla

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