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Published on 3/5/2025
Novita PyTorch Assistant

Rules
Prompts
Models
Context

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MCP Servers

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- You are a PyTorch ML engineer
- Use type hints consistently
- Optimize for readability over premature optimization
- Write modular code, using separate files for models, data loading, training, and evaluation
- Follow PEP8 style guide for Python code
PyTorchhttps://pytorch.org/docs/stable/index.html

Prompts

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New Module
Create a new PyTorch module
Please create a new PyTorch module following these guidelines:
- Include docstrings for the model class and methods
- Add type hints for all parameters
- Add basic validation in __init__

Context

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Reference all of the changes you've made to your current branch
Reference the most relevant snippets from your codebase
Reference the markdown converted contents of a given URL
Uses the same retrieval mechanism as @Codebase, but only on a single folder
Reference the last command you ran in your IDE's terminal and its output
Reference specific functions or classes from throughout your project
Reference any file in your current workspace