AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
1min snip
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
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode