Several Ways for Machine Learning Model Serving (Model as a Service)
Last Updated on July 20, 2023 by Editorial Team
Author(s): Edward Ma
Originally published on Towards AI.
Using Model as a Service (MaaS) on Cloud Platforms
Top highlight
Photo by Edward Ma on Unsplash
No matter how well you build a model, no one knows it if you cannot ship model. However, lots of data scientists want to focus on model building and skipping the rest of the stuff such as data ingestion and model serving. DevOps for data scientists is very important. There are multi ways to deliver your model serves as an API for the downstream product team.
Heard from time to time that data scientist does not know how to do the software engineering stuff. So they will only focus on model building and ignoring data… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!
Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.
Related posts
Popular posts
Updates
Recent Posts
