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ChatGPT Vs Bard: What's the Difference

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Are you looking for the next big thing in AI language models? Then you might have heard about ChatGPT and Bard, two of the most advanced language models created by OpenAI and Google, respectively.

The main difference between the two is their training datasets: ChatGPT has a larger and more diverse one, while Bard's is smaller and more specialized. However, Bard has an edge: it can access the internet for the latest information, whereas ChatGPT is limited to data up to 2021. This distinction affects their language capabilities.

In this article, we will delve into the differences and similarities between ChatGPT and Bard to help you choose the most suitable model for your needs.

What is ChatGPT?


ChatGPT is an advanced natural language processing model created by OpenAI. It uses a deep learning technique known as Generative Pre-trained Transformer (GPT) to generate human-like responses in natural language conversations.

The model was trained on an enormous dataset of web pages and books, enabling it to perform a wide range of language tasks, such as summarizing text, answering questions, and generating coherent and appropriate responses.

However, as a language model, ChatGPT's knowledge and training data are limited to the information available until 2021. Yet, ChatGPT is highly adaptable and can quickly incorporate new information and generate unique responses upon the correct prompts.

What is Bard?

google bard

Bard is an AI-powered language model created by Google that generates human-like responses in natural language conversations using advanced deep learning algorithms like Transformer and BERT.

Unlike ChatGPT, Bard has access to the latest research and information on the internet, allowing it to quickly adapt to new trends and perform more accurately in specific domains like finance and healthcare. One of Bard's significant strengths is that it's continuously updated and trained on the latest information available, allowing it to provide accurate and relevant responses on a wide range of topics.

This versatility allows it to perform various language tasks like summarization and translation, making it an excellent choice for businesses, researchers, and everyday users.

Differences between ChatGPT and Bard

So, you might wonder what the differences are between ChatGPT and Bard, two of the most advanced natural language processing models. They're both pretty impressive, but a few key differences are setting them apart. Here are seven of the main differences between ChatGPT and Bard:

Knowledge cutoff

ChatGPT is trained on a dataset that only goes up until 2021. It means that its knowledge is limited to that period. Whereas Bard is continually updated and trained on the latest information available, allowing it to provide more up-to-date and relevant responses.

Training data

ChatGPT was trained on a massive dataset of web pages and books, giving it a broad base of knowledge across many subjects. In contrast, Bard uses Google's search index and books as training data. This difference may result in a more focused set of information highly relevant to users.

Developer access

OpenAI provides limited access to ChatGPT for commercial use, while Bard is a Google product; and is available for everyone. As a result, Bard may be more accessible and easier to integrate into commercial products and services.

Task handling

Bard is designed to handle multiple tasks within a single conversation. For example, it can answer follow-up questions or provide additional context, making it more versatile and efficient than ChatGPT in certain applications. On the other hand, ChatGPT is better suited for single-task-oriented conversations.


While both ChatGPT and Bard are highly accurate language models, Bard is known to have better accuracy in some tasks than ChatGPT. For instance, Bard outperforms ChatGPT in information recall and specificity. It could make Bard a more effective tool for information retrieval in certain use cases.


ChatGPT is more customizable than Bard, allowing users to fine-tune the model to their specific needs. ChatGPT can be adapted to work better in certain applications or provide more accurate responses to types of queries.


While ChatGPT and Bard have broad applications in many industries, they excel in different areas. ChatGPT is particularly well-suited for language modeling and natural language generation. In contrast, Bard's strengths are more in information retrieval and knowledge graphs. It makes it a better fit for applications such as chatbots or voice assistants that require a more focused set of responses.

Comparison Chart: ChatGPT Vs Bard

Knowledge cutoffLimited to information up to 2021Continuously updated
Training dataMassive dataset of web pagesGoogle search index and books
Developer accessLimited access for commercial useAvailable to anyone to use
Task handlingBetter for single-task-orientedCapable of handling multiple tasks
AccuracyHighly accurateHighly accurate, better at recall
CustomizationHighly customizableLimited customization options
ApplicationsLanguage modeling and generationInformation retrieval and graphs
NaturalnessMore human-like responsesLess human-like responses

ChatGPT is better suited for language modeling, generating more human-like responses, and creating content, while Bard is better suited for knowledge retrieval, including search engines, text summarization, and knowledge graphs. Additionally, ChatGPT has limited access for commercial use, while Bard is available to anyone to use.


Despite their differences, ChatGPT and Bard also share many similarities. Both are advanced natural language processing models that utilize deep learning techniques and are trained on large datasets of text, enabling them to generate accurate and high-quality language responses.

They are both highly accurate in understanding and generating natural language and are rapidly evolving technologies, constantly being updated with new features and capabilities. These similarities make ChatGPT and Bard powerful tools for a range of applications in the field of natural language processing.


How accurate are ChatGPT and Bard at understanding and generating natural language?

Both models are highly accurate in their ability to understand and generate natural language. They are trained on vast datasets of text and have been tested and refined to generate high-quality language responses.

How can ChatGPT and Bard benefit businesses and industries?

These models can help businesses and industries automate customer service, streamline communication, and perform language-related tasks more efficiently. They can also help to improve the accuracy and speed of language-related processes such as translation and summarization.

Who owns OpenAI?

OpenAI is an artificial intelligence research laboratory consisting of a for-profit research company and a non-profit charity foundation. It was founded in December 2015 by a group of technology luminaries, including Elon Musk, Sam Altman, and others. The goal of OpenAI is to advance and develop safe and beneficial AI.


In conclusion, ChatGPT and Bard are two of the most advanced natural language processing models available, with distinct differences and similarities. While ChatGPT is better suited for language modeling and generating human-like responses, Bard excels in information retrieval and knowledge graphs.

Bard also has the advantage of being continuously updated and accessible to anyone, while ChatGPT is highly customizable and can quickly incorporate new information. Both models are highly accurate and powerful tools for a wide range of applications, and their distinct capabilities make them suitable for different use cases.

Feel free to comment and discuss about the article in the comment space below if you have any information or remarks to add. If you think we made a mistake, you can also report it there.
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About the Author: Nicolas Seignette

Nicolas Seignette, who holds a scientific baccalaureate, began his studies in mathematics and computer science applied to human and social sciences (MIASHS). He then continued his university studies with a DEUST WMI (Webmaster and Internet professions) at the University of Limoges before finishing his course with a professional license specialized in the IT professions. On 10Differences, he is in charge of the research and the writing of the articles concerning technology, sciences and mathematics.
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