Memory Optimization

Knowledge Distillation for Model Compression

A practical walkthrough

Jun 4 •

I/O Optimization in Data Projects

If you use CSVs all the time, read this.

May 31 •

5 LLM Fine-tuning Techniques Explained Visually

Explained in a beginner-friendly way.

May 30 •

Building Multi-task Learning Models

A practical guide in PyTorch.

May 18 •

Where Did the GPU Memory Go?

Estimating memory consumption of GPT-2.

May 17 •

Condense Random Forest into a Decision Tree

Preserve generalization power while reducing run-time.

Apr 9 •

The Probe Method: An Intuitive Feature Selection Technique

Introduce a bad feature to remove other bad features.

Mar 19 •

Create Robust and Memory Efficient Class Objects

Fix the attributes an object can ever possess.

Mar 15 •

Gradient Accumulation in Neural Networks and How it Works

An underrated technique to train neural networks in memory constrained settings.

Mar 8 •

Implementing LoRA from Scratch for Fine-tuning LLMs

Understanding the challenges of traditional fine-tuning and addressing them with LoRA.

Feb 26 •

Mixed Precision Training

Train large deep learning models efficiently.

Feb 25 •

Cython: An Under-appreciated Technique to Speed-up Native Python Programs

...within minimal effort.

Feb 12 •

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