What are the common challenges in CI/CD for AI projects?
An example of an AI chatbot conversation about common CI/CD challenges in AI projects.
What are the common challenges in CI/CD for AI projects?
Some common challenges include data versioning, model drift, and integration with existing CI/CD pipelines.
How does model drift affect deployment?
Model drift can lead to decreased accuracy over time, requiring continuous monitoring and retraining of models.
What tools can help with data versioning?
Tools like DVC, MLflow, and Git LFS are popular for managing data versioning in AI projects.
Can you explain how to integrate AI models into existing CI/CD pipelines?
Integrating AI models involves automating testing, deployment, and monitoring processes to ensure smooth updates.
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