This is the Linux app named LLM Training Puzzles whose latest release can be downloaded as LLM-Training-Puzzlessourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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LLM Training Puzzles
DESCRIPTION
LLM Training Puzzles is a notebook-based collection of eight exercises about training large neural networks across many GPUs. It introduces the core primitives behind distributed language model training without requiring access to a thousand-machine cluster. The puzzles focus on memory efficiency, communication, partitioning, and compute pipelining. Learners work through simplified scenarios that expose the tradeoffs hidden inside large training systems. The hands-on format emphasizes deriving behavior rather than memorizing framework commands. Google Colab is recommended so readers can copy the notebook and begin experimenting quickly. The project belongs to a broader puzzle series covering tensors, automatic differentiation, Transformers, GPUs, and related topics.
Features
- Eight distributed training puzzles
- Multi-GPU training concepts
- Memory efficiency exercises
- Communication and partitioning problems
- Compute pipeline exploration
- Google Colab notebook workflow
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/llm-training-puzzles.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
