Where can I find GPU, Deep Learning and AI (LLM) training?
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- Dominant language
- Python
- Stars
- 24
- Forks
- 15
- Avg merge
- 10d 3h
- Merged PRs (30d)
- 1
Description
- Go to NVidia Deep Learning Institute and click "Browse Learning Paths". Then, click your topic of interest on the first slide under "For Developers". Relevant topics:
- AI (LLM) Courses by Andrew Ng of Stanford University
- AI for Everyone
- AI Python for Beginners
- Other Courses which go into more details or teach other topics.
- 3Blue1Brown (Grant Sanderson, excellent teacher with amazing visuals) videos:
- AI-related courses last updated 2023
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
No repository file or test is named. Start by locating the documentation page or navigation entry for training resources, then use the supplied NVIDIA, Andrew Ng, 3Blue1Brown, and ai_courses links; it is done when these resources are presented clearly and the links work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100