Word generation is a captivating aspect of natural language processing (NLP) that involves creating meaningful and contextually appropriate text. Google TensorFlow, a powerful open-source machine learning framework, provides the tools necessary to build and train models for this purpose. In this blog post, we will explore the basics of word generation using TensorFlow, highlighting its capabilities, practical applications, and the steps involved in developing your own word generation models.

In the world of machine learning and artificial intelligence, TensorFlow stands out due to its flexibility and powerful capabilities. In this article, I'll show the process of creating a simple TensorFlow model to demonstrate how easy it is to get started with this tool. Whether you are new to machine learning or an experienced developer, this step-by-step guide will help you understand the basic concepts and methods behind building models using TensorFlow.

I got re-awarded as a Microsoft MVP for the third time.

Since my previous post about column formatting, Microsoft released the second version of this feature. This post is about what new capabilities we have.

SharePoint Framework makes it possible to provision assets such as field, content type, list instance, and others within client-side solutions. In this post, I show you a couple of examples about the provisioning of list instances.

Getting user presence status with Microsoft Graph.

Learn about how to implement a Monitoring system for SharePoint On-premise with Azure Application Insights.

Computer Vision solution based on Intel OpenVINO technology

Announced capabilities

Export to Excel, Filter related items, Italian Language