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Scale ML Models to Billions of Parameters
...with 4 simple changes to your PyTorch code.
Jul 3
•
Avi Chawla
1
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Scale ML Models to Billions of Parameters
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15 Techniques to Optimize Neural Network Training
...explained in a single frame.
Jun 27
•
Avi Chawla
4
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15 Techniques to Optimize Neural Network Training
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TabM: A Powerful Alternative to MLP Ensemble
32x parameter reduction without accuracy loss.
Jun 6
•
Avi Chawla
6
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TabM: A Powerful Alternative to MLP Ensemble
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48 Most Popular Open ML Datasets
...summarized in a single frame.
Jun 2
•
Avi Chawla
12
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48 Most Popular Open ML Datasets
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5 Chunking Strategies For RAG
...explained in a single frame.
May 29
•
Avi Chawla
7
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5 Chunking Strategies For RAG
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Memory Pinning to Accelerate Model Training
A simple technique, and some key considerations.
May 7
•
Avi Chawla
5
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Memory Pinning to Accelerate Model Training
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Knowledge Distillation using Teacher Assistant
Improved model compression.
Apr 25
•
Avi Chawla
2
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Knowledge Distillation using Teacher Assistant
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Transfer Learning, Fine-tuning, Multitask Learning and Federated Learning
Four must-know model training paradigms.
Mar 26
•
Avi Chawla
7
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Transfer Learning, Fine-tuning, Multitask Learning and Federated Learning
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Implementing Knowledge Distillation From Scratch
...to compress ML models.
Mar 10
•
Avi Chawla
4
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Daily Dose of Data Science
Implementing Knowledge Distillation From Scratch
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5 LLM Fine-tuning Techniques
...explained visually.
Feb 20
•
Avi Chawla
5
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5 LLM Fine-tuning Techniques
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4 Strategies for Multi-GPU Training
...explained visually.
Feb 12
•
Avi Chawla
6
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4 Strategies for Multi-GPU Training
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4 Ways to Test ML Models in Production
...explained visually.
Feb 3
•
Avi Chawla
8
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4 Ways to Test ML Models in Production
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