How to Build an AI-Powered Content Summarizer for Blog Posts
1 min read
Summary
An AI-powered content summariser can be helpful for both bloggers and readers by condensing online content into concise summaries.
This summary highlights the article’s main points, making it easier for readers to grasp.
This step-by-step tutorial teaches you how to create an AI-powered content summariser using cutting-edge natural language processing techniques, enabling you to generate thorough summaries of blog posts automatically.
It provides a list of materials and tools needed, including Python 3.x, Transformers library, and a pre-trained summarisation model.
It shows how to write summarisation code by selecting a pre-trained model, loading the model and tokeniser, preparing the blog post content, and generating and decoding the summary.
You can improve your summariser by experimenting with different models and post-processing methods once you’ve tested it with various blog posts.
The article also notes usual problems and offers solutions, such as poor summary quality or slow performance.