As one of the largest technology companies in the world, it’s no surprise that Google has been closely monitoring the development of emerging artificial intelligence (AI). Recently the world has been taken by storm over the release of ChatGPT, a large language model developed by OpenAI.

So, what is ChatGPT?

ChatGPT is a large-scale language model developed by OpenAI, one of the world’s leading artificial intelligence research organisations. GPT stands for ‘Generative Pre-trained Transformer’.

It is a machine learning model that has been pre-trained on a large dataset of human language, allowing it to generate coherent and contextually appropriate responses to text inputs.

ChatGPT is one of the most advanced language models in the world, and it has been trained on a massive amount of data, including billions of words of text. The model has over 175 billion parameters, making it one of the largest machine learning models ever created.

One of its most notable features is its ability to generate text that is almost indistinguishable from text written by humans. This has led to its use in a variety of useful applications, such as chatbots, personal assistants, and other conversational agents.

However, despite its impressive capabilities, ChatGPT is not without limitations. Like all machine learning models, it is only as good as the data it has been trained on, and it can sometimes generate biased or inaccurate responses if it encounters text that is not well-represented in its training data.

What is Google doing in response?

One of the main areas where Google is focusing its efforts is natural language processing (NLP), which is the ability of machines to understand and generate human language.

Google has been developing its own NLP technologies for many years, with products like Google Translate, Google Assistant, and Google Search all relying heavily on these technologies.

BERT and MUM

Google has been working on its own NLP models for several years now, continuously developing and improving them. One of the first of these technologies was BERT, which stands for Bidirectional Encoder Representations from Transformers and was rolled out in 2018.

As a deep learning algorithm, BERT is designed to better understand the context of words in a sentence. It has been used to improve the accuracy of Google Search and Google Assistant.

In 2021, MUM (Multitask Unified Model) was released. As the next iteration of BERT, it was 1,000 times more powerful.

Bard

While BERT and MUM were great innovations for Google, they served a different purpose than ChatGPT does. That’s where Bard comes in. Bard is an experimental conversational AI service similar to ChatGPT.

As of February 2023, Bard has been opened up to trusted testers, and in the coming few weeks should be made available to the general public.

Google’s CEO Sundar Pichai says, “Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses. Bard can be an outlet for creativity and a launchpad for curiosity.”

Its initial release will be a lightweight version so as to draw less computer power and scale to more users, as well as allow for more feedback.

ChatGPT has certainly got a head start with public awareness but the question is, will it be able to maintain its momentum?

As a colossus in the tech industry, Google certainly has the means to compete in this area. The AI arms race is rapidly heating up and the technologies that will emerge as a result could have a profound impact on humanity.

Competition drives AI progress

Google is responding to ChatGPT by investing heavily in its own AI technologies and developing new tools that can be used in conjunction with NLP.

With the imminent release of Bard, it will be interesting to see how Google will shake things up. This competition is likely to lead to further advances in AI, and ultimately, to new breakthroughs in the field.

While ChatGPT is a remarkable achievement, it is likely just the beginning of a new era of AI development, as researchers continue to push the boundaries of what machines can do.

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