Model Integration Best Practices
Chris and Daniel discuss the importance of integrating software and data science best practices when updating models to prevent software breaks and productivity hits. They emphasize the necessity of having a disciplined process to ensure smooth model deployment within software applications.In this clip
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Practical AI
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Related Questions
What are the ways to deploy AI models as discussed in the episode Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17 and the clip Continuous Delivery Insights, as well as in the episode MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3 and the clip Manual ML Processes?
What are the ways to deploy AI models as discussed in the episode MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3 and the clip Manual ML Processes?