You may have visited an online generative tool yourself and found the words “machine learning” used in the explanatory content that is published on the webpage.

In this post, we’re going to be looking at what machine learning is, what it does, and what role it plays in generative AI tools.

What is Machine Learning?

Machine learning is, as we mentioned just now, a branch of artificial intelligence. It is commonly described as the branch of computer science that involves teaching computers to learn from provided data even when they are not actively given instructions. To understand it better, if a computer is equipped with machine learning, it is able to learn on its own from the data it has access to.

A very common and helpful example of machine learning can be seen in your smartphone keyboards. Smartphone keyboards are programmed to analyze the inputs of the user. It learns from those inputs to provide text predictions and autocompletes tailored to the user.

Now, the keyboard software has been developed once and then provided to different users. However, for each user, the text predictions are different since the software learns differently from the different types of input. This encapsulates the main essence of machine learning.

What are Generative AI Tools?

Let’s move on to discuss what generative AI tools are.

Generative AI tools are basically online tools that generate content based on the instructions provided by the user. There are different ways in which these types of tools perform this task.

A few examples are listed hereunder:

• One example of generative AI tools is content generators. Content generators work by taking instructions from the user and then creating content for blogs, articles, etc.
• Another example of generative AI is paraphrasing tools. Although they don’t generate content from scratch, they do generate a variated copy of it. The main work of paraphrasing tools involves the alteration of words and sentences in the given content. Smart AI paraphrasers, like Paraphrase-Online.com, use generative technologies like GPT-3 to make these types of changes. That is why they’re included in this category.
• Summary generators are also a type of generative AI tool. These tools process the input content and then create a shorter and concise version of it.

What is Machine Learning’s Role in Generative AI Tools?

Generative AI tools are very complex and complicated. They are made to process and understand whatever type of content or instructions that they may be given and then present an output.

The ability to understand such a diverse range of information requires these tools to be extensively trained on vast amounts of data. Consider the example of GPT-3 (Generative Pre-Trained Transformer 3), one of the ground-breaking AI models that is utilized in online tools. This model is trained on 175,000,000,000 parameters. 

When this type of extensive training has to be performed, it needs to be automated. The generative AI tool has to be equipped with machine learning so that it can learn from datasets on its own without requiring human intervention.

This is the main role of machine learning in generative AI tools. It allows them to learn and improve themselves by learning from existing parameters/data sets without needing to be constantly managed and controlled.

Many online AI generative tools also learn from the inputs they are regularly given by their users. This is also enabled by machine learning.

Conclusion

Machine learning is an important branch of AI that allows computer systems to learn on their own. It allows them to imitate the human attribute of self-learning.

There are many different uses of ML – one of which is in online generative tools. ML helps these tools train on datasets so that they can improve their work.

We hope the post above was helpful and you learned something useful from here. 

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