A simple CUDA adaptation of the tutorial
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- Dominant language
- Python
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- Avg merge
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- Merged PRs (30d)
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Description
Hi, thank you for this great tutorial.
While learning from the repo, I put together a simple CUDA / PyTorch adaptation for the Week 1 / Week 2 tutorial path. I tried to stay close to the original teaching structure and only changed the backend where necessary.
It is still a very plain adaptation and most of the credit belongs to your original code and tutorial design. I just wanted to mention it here in case it is useful: tiny-llm CUDA.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the Week 1 and Week 2 tutorial path in this repository and the linked tiny-llm CUDA adaptation. The issue does not name a repository file, test, requested change, or completion criteria, so confirm whether the external adaptation should be integrated or documented before starting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100