Discover the surprising differences between each AI and Bing Chat!

Bard, the new AI platform developed by Google, is becoming a serious competitor for 's popular AI, . While both platforms are capable of generating website summaries and text responses based on user queries, there are some significant differences between them that could be a game changer. In this article, we'll explore these differences to determine what sets Google Bard apart from ChatGPT.

Real-time knowledge update

Perhaps the main point of differentiation between ChatGPT and Google Bard is their ability to update knowledge in real time. While ChatGPT's knowledge corpus only goes until September 2021, Google Bard is able to process and present information generated from the web in real time. Chat, which is based on ChatGPT's OpenAI system, also offers this functionality, but the way information is presented can be more direct on Google Bard.

More response options

In addition to offering text responses, both platforms are capable of generating drafts of other alternatives. However, Google Bard offers a wider and more interesting range of options than ChatGPT. In addition to providing an answer, Google's platform also displays additional options that can provide more in-depth and comprehensive information about the question being asked.

More output formats

Google Bard's AI also offers more flexibility in terms of the formats in which it can present its results. In addition to summaries and text responses, Google Bard can generate code and explain it. In addition, responses can be generated in a specific document format, such as .PDF or .HTML, which can facilitate and . Bing Chat also has an interesting feature in merging the Dall-e image generator, to get even richer and more complete results for the most complex queries.

These differences between ChatGPT and Google Bard show that Google's new AI platform is becoming a serious competitor for the OpenAI platform. While each platform has its advantages and disadvantages, Google Bard appears to be more robust and flexible in responding to ever more complex queries. It will be interesting to see how these platforms evolve in the future and how they may change the AI landscape in the years to come.

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