Hugging Face Hub topics
12 short topics in Generative AI and LLM Applications. Each one is a single focused exercise with a clear piece of evidence at the end.
12 topics, one exercise each.
Work through them in order, or jump to the one you need.
These are draft topic outlines (draft; instructor review pending). Full lessons follow after review; ask Ajay if you need a topic sooner.
- 01
Repository and artifact organization
Produce a Hugging Face Hub design applying repository and artifact organization; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 02
Model and dataset cards
Produce a Hugging Face Hub design applying model and dataset cards; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 03
Version revisions and immutable references
Produce a Hugging Face Hub design applying version revisions and immutable references; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 04
Artifact upload and retrieval
Produce a Hugging Face Hub design applying artifact upload and retrieval; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 05
Model-format compatibility
Produce a Hugging Face Hub design applying model-format compatibility; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 06
Dataset split and metadata representation
Produce a Hugging Face Hub design applying dataset split and metadata representation; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 07
Licence and provenance review
Produce a Hugging Face Hub design applying licence and provenance review; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 08
Public and private access
Produce a Hugging Face Hub design applying public and private access; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 09
Token and credential scope
Produce a Hugging Face Hub design applying token and credential scope; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 10
Application and inference integration
Produce a Hugging Face Hub design applying application and inference integration; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 11
Cache and download behavior
Produce a Hugging Face Hub design applying cache and download behavior; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 12
Reproducible artifact selection
Produce a Hugging Face Hub design applying reproducible artifact selection; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course →
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