When modifying AI library dependencies, always provide clear justification for version choices, especially when using non-standard sources like git commits or release candidates. This is critical for AI projects where library compatibility and stability directly impact model performance and inference reliability.
When modifying AI library dependencies, always provide clear justification for version choices, especially when using non-standard sources like git commits or release candidates. This is critical for AI projects where library compatibility and stability directly impact model performance and inference reliability.
For standard version updates, explain the motivation (bug fixes, new features, compatibility requirements). For non-standard sources like git commits, document:
Example of good justification:
# Using git commit due to bug in official v4.49.0 that affects vision models
"transformers @ git+https://github.com/huggingface/transformers.git@84f0186",
# TODO: Migrate back to official release when v4.49.1+ is available
This practice prevents confusion during code reviews, helps with dependency auditing, and ensures the team understands the rationale behind critical AI library choices that could affect model behavior or performance.
Enter the URL of a public GitHub repository