How Generative AI Simplifies and Enhances Text Summarization

Generative AI has become the core of content creation in a very short time. Today, around 75% of experts agree that Generative AI will cause significant changes in the industry, particularly related to content creation. 

This is backed by the fact that around 100 million people use chatbots and generative AI tools every week. But how does it play a role in generating good-quality summaries? Besides, how does it generate summaries, what are its benefits, and how should you use such a tool?  

We’ll answer all these questions and use a renowned AI summary generator for demonstration. So, let’s dive right into it.  

How does AI Generate Summaries? 

Text summarization through generative AI is quite a simple, yet complex concept. Modern AI, such as GPT, uses prediction based on the input text and then creates a clear summary using the data provided to it. This is done through pre-trained patterns and other algorithms. 

The first thing such pre-trained patterns do is employ the neural network to encode and comprehend the basics/concept of the primary text. Then, they encode the said text into a concise representation and finally, decode the text into a summarizer and shorter version. 

5 Key Benefits of AI in Generating Summaries 

There are quite a few benefits of AI-generated summaries, compared to traditional summaries. Now, you might summarize your own content better, but using AI can help save a ton of time and reduce the stress of additional work. 

So, there are quite a few benefits of using AI in generating summaries and five of them are: 

1. Traditional summarization techniques only condense the actual content, whereas AI-generated summaries are the sum of the key concepts. This ensures that only relevant content is extracted.  
2. It can reduce the time it would take to summarize content manually. In a few simple clicks or taps, AI can generate summaries for thousands of words of content.  
3. AI produces more accurate summaries that aren’t only more cohesive compared to traditional summarization methods, but also more fluent and informative. 
4. AI-generated summaries are more faithful to the original content, and they encapsulate the key concepts thoroughly while being concise and readable. 
5. Pre-determined and pre-trained algorithms ensure writers or users can generate summaries according to their needs, such as bulleted summaries, or summaries of a specific length.  

These benefits are exactly why AI-generated summaries are superior to traditional summarization methods.  

How to Use AI in Generating Quality Summaries?

There are quite a few tools available today that claim to make summaries of texts. However, it’s imperative that you pick a tool that actually uses pre-trained GPT algorithms (AI) to create summaries, instead of using traditional methods. 

Therefore, it’s important to pick the right tool, and then use it to create a summary. Moreover, it’s important to find or use a tool that offers multiple types and lengths of summaries. So, let’s dive right into it.  

Step 1: Choose A Reputable AI Summarizer  

One of the first things to do is pick a reputable summarizer, which is known to use modern AI to generate summaries. One such tool is EditPad’s AI summary generator, which we’ll use throughout the rest of the demonstration of how AI plays a role in generating quality summaries. 

It has all of the key features that you would look for in such a tool. So, just for a recap, you need something that: 

• Creates summaries using advanced AI-based algorithms; 
• Offers various summary lengths, i.e., 25% to 75% length of the original content; 
• And various summary types, i.e., bulleted or paragraphed summaries.  

Bearing this in mind, use a summarizer that offers these features to get the benefits of AI-generated summaries.  

Step 2: Copy The Content & Summarize  

Once you have chosen the tool, the next phase is to use the tool and generate summaries. This phase is completely dependent upon your personal preference, the length of summary you need, and the type of summary you require. 

So, let’s keep everything on default, then copy and paste the content into the summarizer’s editor where it would look like this:  

After that, the tool might require a captcha check, but if it doesn’t, simply tap Summarize to let AI analyze and convert your text into a summary: 

The waiting phase is about 10-15 seconds before the tool will provide the summary. But then again, this depends on the length of the content that you want the tool to summarize.  

Step 3: Try Different Summary Types & Lengths  

Once the summarization process ends, the tool will provide you with the final result. This will be the exact length that you have chosen in the bar, i.e., 25%, 50%, or 75%. And once the conversion ends, here’s the final result:  

As seen above, the AI-generated summary isn’t only condensing the idea, but providing the sum of the argument. In this case, it’s the process of selecting the furniture, but compared to the original text, the summarized version focuses on important words, expressions, and the subject itself. 

Besides that, it’s exactly 50% of the original content. But, since it’s the paragraphed summary, let’s try the bulleted version too: 

As seen here, the bulleted version is quite different and emphasizes the key areas, instead of explaining them. This might be a more suitable version of the summary for many users. But what if we prompt AI to condense it even more: 

As seen here, we prompted AI to make it a 25% summary, and it did just that. This version of the summary is a lot more condensed and only surmises the keywords/important areas of the main text. Thus, proving once again how versatile AI-generated summaries can be.  

Conclusion  

These are some of the keyways that AI plays a role in generating quality summaries. It comes down to usage and preference, but AI is quite capable nowadays of creating outstanding summaries. And it’s all made possible by advancements in pre-trained and generative modules like GPT.  

Also, read: History of Artificial Intelligence: A Detailed Guide