Use Label Sleuth to build your train and test data input

This blog post is written in the context of creating a text classification model. The objective is to build and train a text classification model to identify topics in a text. These topics are Kubernetes and Watson NLP. As the train and test data, we will use an export from my blog on This data we will label this with the open-source tool called Label Sleuth.

Some thoughts about ChatGPT and AI

Everyone is now talking about this new way of using AI in an interactive form of communication. When we talk about free or open and AI, these three questions immediately came to my mind: “If you're not paying for the product, then you are the product.” That's a quote from Daniel Hövermann in The Social Dilemma. What will be the business model? "Will my Job be replaced?" "Can I trust, and what is my remaining responsibility?"

How to create a model container image for Watson NLP for Embed

This longer blog post shows how to : … build a model init container with a custom model for Watson NLP for Embed. … upload the model init container to the IBM Cloud container registry. … deploy the model init container and the Watson NLP runtime to an IBM Cloud Kubernetes Cluster. … test Watson NLP runtime with the loaded model using the REST API.

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