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Google solved an Old RNN Problem
A better middle ground between RNNs and Transformers.
Apr 15
•
Avi Chawla
10
1
A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
Apr 3
•
Avi Chawla
7
1
CPU vs GPU vs TPU vs NPU vs LPU
...explained visually!
Mar 26
•
Avi Chawla
12
1
16 Techniques to Optimize Neural Network Training
...explained in a single frame.
Mar 4
•
Avi Chawla
4
Researchers Solved a Decade-old Problem in Object Detection
...explained visually.
Feb 19
•
Avi Chawla
6
Build Portable ML Models with ONNX
...explained with code.
Jan 19
•
Avi Chawla
2
4 Strategies for Multi-GPU Training
...explained visually.
Dec 11, 2025
•
Avi Chawla
4
8 AI Model Architectures, Visually Explained!
must-know for AI engineers!
Dec 4, 2025
•
Avi Chawla
5
1
6 Types of Contexts for AI Agents
...explained from a context engineering perspective.
Oct 17, 2025
•
Avi Chawla
11
3
A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
Oct 14, 2025
•
Avi Chawla
1
Activation Pruning for Model Compression (with implementation)
Removing 74% neurons with 0.5% accuracy drop.
Oct 2, 2025
•
Avi Chawla
5
How Dropout Actually Works
A lesser-known detail of Dropout.
Sep 10, 2025
•
Avi Chawla
6
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