ML Docs

Context: $ARGUMENTS

Quick start

• Look up a specific function/class: → Step 1, then Step 2
• Understand a concept or workflow: → Step 1, pick a topic URL, fetch it
• Compare options across libraries: → run Step 1 for each library, fetch in parallel

When to use

• User asks how to use any function, class, or method from a supported library
• User asks "what parameters does X take" or "what does Y return"
• User needs working code examples for a task (groupby, cross-validation, fine-tuning, etc.)
• User asks about a concept: broadcasting, autograd, attention, sparse matrices, etc.
• User wants to know which library/function to use for a task
• User hits an error and needs to check expected behavior from the official docs