I will address in this post the issue of maintenance of large pretrained embeddings within Artificial Intelligence (AI) services. While this issue has some links to ethical aspects (see for example the European Commission’s guidelines on trustworthy AI or here), the focus here is on maintainability of those embeddings as part of MLOps. Software Maintenance… The Question of Maintenance of pre-trained Machine Learning Embeddings weiterlesen
Schlagwort: productizing
Collaborative Data Science: About Storing, Reusing, Composing and Deploying Machine Learning Models
Why is this important? Machine Learning has re-emerged in recent years as new Big Data platforms provide means to use them with more data, make them more complex as well as allowing combining several models to make an even more intelligent predictive/prescriptive analysis. This requires storing as well as exchaning machine learning models to enable… Collaborative Data Science: About Storing, Reusing, Composing and Deploying Machine Learning Models weiterlesen