817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
Super Data Science: ML & AI Podcast with Jon Krohn
Version and Deploy: The Two Pillars of MLOps
In MLOps, after model training is complete, the next steps are critical for effective management and application. Versioning the model is essential, similar to versioning code, to track changes and maintain metadata over time, especially when retraining occurs. The second crucial task is deploying the model, which involves transferring it from a development environment to a production setting. This typically requires setting up REST APIs and utilizing containerization technologies like Docker to manage the model's computational needs efficiently.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
