This article is the third in a series of articles on how to build an end-to-end machine learning pipeline for a chatbot AI that relies on a user-defined knowledge base. You can read about the description of the use case and the other articles in the series here.

In this article, you will read about the machine learning model, based on BERT, and how to execute a training job on the Google AI Platform.

You can explore the code at my GitHub repository.

The framework

The panorama of frameworks and packages available to design and build machine learning models is extremely rich…

This article is the second of a series of articles on how to build an end-to-end machine learning pipeline for a chatbot AI that relies on a user-defined knowledge base. You can read about the description of the use case and the other articles in the series here.

In this article you will read about the dashboard backend, the development details and how to deploy the package to Google Cloud Run, a highly scalable service for containerized applications.

You can explore the code at my GitHub repository.

Disclaimer: I’m still a beginner at Golang and the software explained in this…

This article is the first of a series of articles on how to build an end-to-end machine learning pipeline for a chatbot AI that relies on a user-defined knowledge base. You can read about the description of the use case and the other articles in the series here.

In this article, you will read about the dashboard frontend, the development details, and how to deploy the package to Google Cloud Run, a highly scalable service for containerized applications.

You can explore the code at my GitHub repository.

Technological framework: Vue.js

The frontend has been developed by making use of Vue.js, …

This article is the introduction to a series of articles on how to build an end-to-end machine learning pipeline for a chatbot AI that relies on a user-defined knowledge base.

This article contains an overview of the use case for this project. If you would like to skip to a specific section, please click the appropriate link below.

  1. Dashboard front-end: click here
  2. Dashboard back-end: click here
  3. Deep learning model: click here

Note: this is intended to be a proof-of-concept (p.o.c.): there are still huge areas for improvement and many interesting features that might be added. …

Nicola Massarenti

Machine Learning Engineer

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