No doubt, generative AI or generative artificial intelligence has become a new standard in today’s business world. It is taking almost every industry by storm. Be it IT, software development, healthcare, finance, art, writing, fashion, gaming or marketing, generative AI has a significant role to play in almost every industry. But how does it work?
Generative AI finds its roots in advance level
of data science which uses algorithms such as deep learning. Deep learning is
nothing but multi-layered neural network also known as deep neural network.
Some of the examples of such algorithms are recurrent neural network (RNN) and
convolution neural network (CNN). These deep learning algorithms are used by some of
the sophisticated and high performing computers and cloud networks to train
models on a large amount of historical data, also known as training data. These
trained models are then used to produce desired output.
The trained models then predict or rather generate
content which are similar to training data. Generated content could be text
(stories, scripts, etc.), or musical piece, or a visual element (both static
and animated), or even software codes. Examples of generative AI include
ChatGPT, Bard, DALL-E, etc.
With the advent of generative AI, the world has
definitely found a new era of advancement in almost every aspect of business
and life in general. The sky is the limit and the possibilities are unlimited
for what can be achieved with generative AI. Perhaps, that’s the reason, why big
companies like Microsoft, Google and Baidu are making huge investments in this
area. Even mid-sized to smaller originations do not want to be left behind in
this race.
Although, generative AI has brought with it numerous
possibilities to improve businesses and living standards of human civilization,
by automating boring and repetitive processes, saving time consumed by
non-productive or rather non-creative tasks, etc. Besides, it can prove itself
as a great ally of humans in their endeavour to always innovate something new
for the betterment of the society. But what about the downside of generative AI?
Generative AI is also a matter of concern, considering
potential threats it can cause in so many ways, such as increased cybercrime, loss
of human jobs, lack of human emotions, decreased level of creativity, rising
cases of fake news and deepfakes and the list can go on.
Generative AI is here to stay and it is unstoppable and will only grow stronger with time . But the big question remains unanswered: “How will it be used and with what intention?”
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