This extract is from a bash automation script in the question-answering GitHub project. The bash script automates the deployment to IBM Cloud Code Engine. The extraction is about the building and pushing a container to the IBM Cloud Container Registry.
A custom Reranker deployment on Kubernetes
The objective of this project is to deploy the Reranker to a Kubernetes cluster in a VPC on IBM Cloud and access the REST API of the Reranker. The Reranker is a component of PrimeQA.
Example of how to connect and use Elasticsearch on IBM Cloud Databases using bash automation and CURL commands
This blog post is a short example of connecting to Elasticsearch on IBM Cloud with Databases for Elasticsearch using bash scripting with cURL.
Show the collection IDs of IBM Cloud Watson Discovery projects using cURL
This blog post is a simple example (cheat sheet) of listing the collections for a project in Watson Discovery using cURL and the IBM Cloud Watson Discovery API V2. You can get more details in the IBM Cloud Watson Discovery API documentation. 1. Log on to IBM Cloud ibmcloud login (-sso) 2. List the projects OAUTHTOKEN=$(ibmcloud... Continue Reading →
The Setup of Bring Your Own Search (BYOS) for a Question Answering Service in Watson Assistant
This blog post is about how to set up Bring Your Own Search (BYOS) for the Question Answering Service based on IBM Software in Watson Assistant. The implementation of the Question and answering Service is available on GitHub.
Cheat sheet on some of the available parameters for regular expressions
This is a short cheat sheet on the available parameters for regular expressions.
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.
Watson NLP for Embed customize a classification model and use it on your local machine
This blog post is about, how to customize a classification model for Watson NLP for Embed and use it on your local machine.
Run Watson Speech to Text for Embed on an IBM Cloud Kubernetes cluster in a Virtual Private Cloud environment
This blog post is about to deploy the IBM Watson Speech to Text Library for Embed to an IBM Cloud Kubernetes cluster. IBM Cloud Kubernetes cluster is a “certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud“.
Get started with Jekyll for blog posts and deploy the blog to GitHub pages
In this blog post, we’ll take a look at Jekyll to get a basic understanding how usage and setup works. We won’t use an existing template, we’ll follow the initial steps for implementation and then we configure the source code for a custom deployment to GitHub pages.