After ChatGPT, Wen Xin, Google finally opened its own conversational AI service Bard to open testing.

Google said that public testing will begin in the US and UK and that opening up more user access is ldquo; 's next key step in improving it & rdquo;.

Compared with ChatGPT's multilingual proficiencyBard can only have conversations in English for the time being, and ChatGPT can generate large chunks of available code, but this function of Bard is not available for the time being because it is still learning programming skills.

But in terms of content generation,ChatGPT can only respond one at a time, while Bard creates several different versions at a time for users to choose from.

Some netizens specially asked Bard: what's the difference between Bard and ChatGPT?

Bard's reply vaguely reveals the meaning of ldquo; trample & rdquo;. It says that Bard and ChatGPT are both large language models that can generate text, translate languages, write different types of creative content, and answer your questions in an informative way.

But there are some differences between the two: first of all,Bard is trained on a text and code dataset that is much larger than the ChatGPT training dataset.This means that Bard has access to a wider range of information and can generate more complex and creative text formats.

Second, Bard can access and process information from the real world in real time through Google search. This means that Bard can provide more up-to-date and relevant information than ChatGPT.

Finally, Bard is still in development, and ChatGPT has been released to the public. This means that Bard may continue to improve over time, while ChatGPT may remain relatively unchanged.

Generally speaking, Bard is a more powerful and general-purpose large language model than ChatGPT. However, ChatGPT is still a useful tool for generating text and translating languages.

Google also stressedAt present, Bard still has some problems such as bias, and may confidently express inaccurate, misleading or false information.They are using human feedback and assessments to improve the system and have set up guardrails such as limiting the number of conversations in an effort to ensure the usefulness of interaction.