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The Power of ChatGPT and Whisper Models

A Deep Dive into Natural Language Processing Natural Language Processing (NLP) has seen a significant boost in recent years due to advancements in artificial intelligence and machine learning. Two models that have shown remarkable success in NLP are ChatGPT and Whisper. In this article, we will delve into the power of these models and their applications in the field of NLP. ChatGPT is a transformer-based language model developed by OpenAI that uses unsupervised learning to predict the next word in a sentence based on the context of previous words. ChatGPT is a generative model that is trained on large datasets of text, such as books and articles, and can be fine-tuned for specific tasks, such as question-answering or dialogue generation. ChatGPT is known for its ability to produce human-like text, making it an ideal tool for applications such as chatbots, content creation, and language translation. Whisper, on the other hand, is a paraphrasing model developed by Google that is based on

Angular PrimeNG checkboxes styling and events handling

Getting Started With PrimeNG Styling in Angular App This chapter I am planning to show how you can handle events of the checkboxes. For that I will use checkbox for every card to place the order. To use PrimeNG checkboxes you have to import checkbox module in app.module.ts file. import {CheckboxModule} from 'primeng/checkbox'; import { BrowserModule } from '@angular/platform-browser'; import { NgModule } from '@angular/core'; import { AppRoutingModule } from './app-routing.module'; import { AppComponent } from './app.component'; import { LandingComponent } from './modules/landing/landing.component'; import { HomeComponent } from './modules/home/home.component'; import { CardModule } from 'primeng/card'; import {CheckboxModule} from 'primeng/checkbox'; @NgModule({ declarations: [ AppComponent, LandingComponent, HomeComponent ], imports: [ BrowserModule, AppRoutingModule, CardModu

DevOps automation using Python - Part 1

DevOps automation is the practice of automating the process of building, testing, and deploying software. Python is a popular language for DevOps automation because of its simplicity and versatility. In this article, we will cover the basics of getting started with DevOps automation using Python. Prerequisites Before we begin, make sure you have Python installed on your system. You can download Python from the official website at https://www.python.org/downloads/ . We will also be using some Python packages, so make sure you have the following packages installed: pip : The package installer for Python. virtualenv : A tool that creates isolated Python environments. Setting up a Virtual Environment The first step in getting started with Python DevOps automation is to set up a virtual environment. A virtual environment allows you to create a separate environment for your Python project, which can help avoid conflicts with other packages on your system. To create a virtual environment, ope

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