Google Bard vs ChatGPT

May 5, 2023 by
Google Bard vs ChatGPT

In recent years, there has been a lot of excitement around advancements in artificial intelligence (AI) and natural language processing (NLP), particularly in the development of language models that can generate text that could comfortably pass as “human.”

Two of the most well-known and talked-about models are ChatGPT and the more recent Google Bard. While both models are impressive in their own right, however, they differ quite profoundly in some key ways.

What is ChatGPT?

ChatGPT is a language model developed by OpenAI. It’s part of the GPT (Generative Pre-trained Transformer) series, which uses deep learning techniques to generate human-like text. ChatGPT has been trained on a massive amount of data, allowing it to generate text that is often indistinguishable from something written by a human.

One of the main use cases for ChatGPT is chatbot applications, where it can interact with users in a conversational way. ChatGPT can understand natural language queries and provide responses that are relevant and helpful. Additionally, it can generate text on a variety of topics, from news articles to fiction stories.

What is Google Bard?

Google Bard is another language model that uses deep learning to generate text. It’s part of the larger Google AI language family and is currently built on top of GPT-4 architecture. Like ChatGPT, Google Bard has been trained on a massive dataset to generate human-like text.

The primary difference with Google Bard, however, is that it is better equipped to generate poetry, fiction, and other creative writings in a variety of styles and formats. The idea is that users can provide a prompt, such as a topic or theme, and Bard will generate text based on that prompt. The model is also capable of generating poetry or song lyrics in a particular style or format, such as a sonnet or haiku.

Similarities and Differences

Both ChatGPT and Google Bard use deep learning techniques to generate human-like text. They are both part of the GPT family and have been trained on large datasets. They both have practical applications too. However, there are some key differences between the two models.

The primary difference is their focus. ChatGPT is designed to be a versatile language model that can generate and summarise text on a wide range of topics, while Google Bard is focused more on providing relevant answers to questions. It’s also pulling from far more recent data, as right now, ChatGPT can only work with data from before 2022.

Another key difference is the level of control that users have over the generated text. With ChatGPT, users can provide a prompt or question, and the model will generate a response based on that input. However, the output is not always predictable, and users may not have full control over the generated text. In contrast, Google Bard allows users to specify a specific style or format, giving them more control over the output.

Bard has been designed to provide more accurate search information and improve research. It’s a natural extension of Google’s search engine that could revolutionise the way people access information online. ChatGPT, meanwhile, is all about the written word. The user interface of Bard, however, is comfortably superior. But then, it’s Google and they have a fair amount of experience in that field.


Overall, ChatGPT and Google Bard are both impressive language models that represent significant advancements in the field of AI and NLP. While they have some similarities, such as their use of deep learning techniques, they also have key differences in terms of their focus, ease of use, and computational requirements. As these models continue to evolve, it will be interesting to see how they are used and how they will impact the world at large going forward.

For now, however, Google Bard is still very much in the beta stages of development so it’s impossible to compare the two, given how familiar so many of us have become with ChatGPT in just a few short months. The proof will be very much in the pudding and that pudding won’t be ready for a good few months yet. So, maybe this is a topic we should be revisiting towards the end of the year? That is if both models haven’t rendered us all irrelevant by then, of course!