Text Generation, Image Generation, Image Processing, Generating Summaries Of Entire Novels, etc. there are only a handful of things that AI can’t do yet. AI is now basically everywhere. Need an essay for school homework? Piece of cake. Need help debugging your code? No problem.

Need help solving a complicated math problem? AI can assist you with that as well. These things seemed very difficult a few decades ago, now, everyone can obtain these things, even on a smartphone. So what exactly is the reason for this sudden outburst of AI in almost every department?

Let us first understand how AI generation works. The proper name of this AI is Generative AI, also called Gen AI. Generative AI is a type of AI that generates new content based on existing content. Generative AI can generate texts, images, videos, audio, and so much more. Generative AI models are trained by feeding them loads of data, and by loads I mean, billions of different types of data. AI models can be trained or fine-tuned to perform some particular types of tasks.

Please note that this is a very high-level explanation of how Gen AI models work. Training and working on AI models is a very deep and complex task, which requires lots of time and resources. And this is mainly the reason why AI is so advanced now.

You see, training AI models requires a lot of processing power. With the increased computing power that we have these days, AI models that can perform various tasks can be trained. More computing power allows more complex and more sophisticated AI models to be made. Also, faster computers help AI models run more efficiently.

A big factor is the availability of a large dataset. The more data you provide to an AI model, the more it learns and the more creative its output is. A larger dataset enables AI models to know more and thus generate better results, learn from more patterns, and make better predictions. Thus, providing a larger dataset to AI models has helped them in becoming more advanced.

Another big reason is the development of better algorithms. Programmers and engineers all over the world have worked a lot in the past few years to develop new algorithms, and better algorithms, to train more advanced and sophisticated AI models. These algorithms are made particularly for various types of AI models. Since these algorithms are more efficient, they help these models to generate better and more accurate results that look very real and authentic.

So, all of these factors have now made AI much more advanced than it was ten years ago. With various tools such as Chat GPT, Google Bard, Bing AI, LaMDA, and more, writing things like blogs and essays has become much easier. AI has become so advanced these days that it has become hard to identify what is real and what is AI-generated, in fact, this very blog that you are reading about AI could be AI-generated! Is it or is it not? ;)

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