Tag: Models

If you have been following technology news over the last twelve months, you have heard about large language models (LLMs) like GPT and LaMDA several times. Chatbots like ChatGPT, Claude 2, and Google Bard are powered by these LLMs. Over the last year, large language models have completely transformed workflows in many industries, including software development and database management.

In this tutorial, we are going to set up TensorFlow in a virtual Python environment on Ubuntu 18.04. TensorFlow is an open-source framework, developed by the Google Brain team, designed to be a high-level interface for implementing machine learning and mathematical operations. This library provides developers an avenue to work on complex projects like neural networks through an easy to use Python API. One of the significant benefits of having a Python front-end is that it is portable between operating systems like Linux and Windows.

Whether you’re a beginner or a professional, TensorFlow is an end-to-end platform that makes building and deploying Machine Learning models a snap! Because TensorFlow is based on the Python system, you can install it on multiple operating systems, including Windows. This article will take you through the necessary steps to get TensorFlow installed on your Windows server.