AI Project: Text Generation with gpt-2 (Hugging Face)
We’ve used the Hugging Face pipeline to understand text (sentiment-analysis) and answer questions (question-answering). Now, let’s use it for its most famous task: Text Generation….

We’ve used the Hugging Face pipeline to understand text (sentiment-analysis) and answer questions (question-answering). Now, let’s use it for its most famous task: Text Generation….

Let’s use our PyAutoGUI automation skills to do something visual: make a bot that draws for us. In this article, we’ll walk through a fun…

Let’s use our Selenium automation skills for something fun: building a bot to play the classic “Cookie Clicker” game. Step 1: Setup and Target Elements…

PRAW (Python Reddit API Wrapper) is a fantastic library that makes it easy to interact with Reddit. You can use it to build bots that…

We’ve used the Hugging Face pipeline to understand emotion and summarize text. Now, let’s use it to find answers. “Question-Answering” models are trained to read…

In our last AI project, we taught Python how to understand emotion. Now, let’s teach it how to read and summarize a long article for…

This is a perfect first project to show the power of our Hugging Face Hub. We will use a pre-trained AI model to instantly determine…

This classic Python To-Do List Project is one that combines all your fundamental skills: loops, functions, lists, and file handling. We’ll build a simple program…

We’ve done Regression (predicting prices) and Classification (predicting species). Both are Supervised learning (they need labeled answers). Now let’s dive into K-Means Clustering Python, a…

In our House Price project, we did Regression (predicting a number). Today, we’ll do Classification (predicting a category). We’re going to explore a Machine Learning…
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