Generative AI models are so new, we have yet to see the long-tail effect of these in our day to day lives. This means there are some inherent risks involved in using them some known and some unknown. Companies like Microsoft and Google have promised to change the game of web search. Both companies now seem committed to using AI to scrape the web, distill what it finds, and generate answers to users. A technological shift of such kind has the potential to redraw the landscape of modern tech.
The next generation of text-based machine learning models rely on what’s known as self-supervised learning. This type of training involves feeding a model a massive amount of text so it becomes able to generate predictions. But each new era of tech comes with new problems, and this one is no different.
Speaking of Google’s Bard, it is a latest lightweight AI tool model
version of the LaMDA. This is because smaller models typically require less
computing power, and thus Bard will be able to reach more users and it will get
more feedback. It will inform users by finding the latest, high-quality answers
and it means that Google’s latest AI tool can give users information about the
latest events.
Bard is powered by LaMDA (Language Model for Dialogue Applications) developed by Google and it is a Convolutional Neural Language Model. Later Google will analyze the feedback it receives from external users and further optimize it. Google looks to ensure that the quality of the answers it receives from Bard is held to a high-standard and is based on real-world information.
Coming to ChatGPT it stands for generative
pretrained transformer, it is open for testing to the public. Interested people
could simply log in to OpenAI’s website and access the tool. Generative
artificial intelligence (AI) describes algorithms can be used to create new
content, including audio, code, images, text, simulations, and videos. This
nifty form of machine learning tool allows computers to generate all sorts of
new and exciting content, from music and art to entire virtual worlds.
Generative AI outputs are carefully calibrated combinations of the data used to train the algorithms. Now when you’re asking an OpenAI model to train using nearly the entire internet, it’s going to cost you. OpenAI hasn’t released exact costs, but estimates indicate that GPT-3 was trained on around 45 terabytes of text data at an estimated cost of several million dollars. Outputs from generative AI models can be indistinguishable from human-generated content, or they can seem a little uncanny at times. So far ChatGPT’s outputs appear to be superior to those of its predecessors.
But what happens next is always a wild guess as usual. Maybe AI search engines will continue to push traffic to all those sites that provide countless other sources of helpful and trustworthy information that we humans do consume on everyday basis. Or maybe this is the end of the entire ad-funded revenue model for the web or it might be even better for us. Speaking further there is also some news stating that Chinese search engine Baidu’s plans to roll out ChatGPT-style chatbot which has recently surfaced.
As generative AI becomes increasingly, and seamlessly,
incorporated into business, society, and our personal lives, we can also expect
a new regulatory climate to take shape. Such machine learning tools have
demonstrated high impact in a number of industries, accomplishing things like
medical imaging analysis and high-resolution weather forecasts. Then there are
those who have reacted to such machine learning AI more broadly with the fear
that such machine learning AI’s have the potential to do more negative than
good for mankind. The full scope of that impact, though, is still unknown as
are the risks. Anyways right now you can hold on your horses before taking a
judgmental call and take it with a pinch of salt.
Words for the Wise: All this comes from my personal experience and might not be true in general or for other people. This reflects my personal opinion and not any company or organization. Everything I have covered over here on this page is public information that can be found in other resources on the web. No secrets, just my truth :)…..
