Bard: The AI Chatbot Rivaling ChatGPT

Google has now introduced its own AI chatbot called Bard.  Bard has access to up-to-date information, unlike ChatGPT (a more common used chatbot), whose knowledge base only goes until 2021. This chatbot can now be used by anyone above eighteen years.

Bard uses natural language processing (NLP) technology to comprehend and interpret human languages. It answers a wide range of questions from factual ones to chatty ones. Designing Bard as conversational and friendly was meant to make it sound engagingly natural.

Bard on the other hand can inform about current happenings in the world today. As mentioned in its introduction, one such case involved explaining on BBC News that TikTok had just been banned on government phones of the UK. This presents quite a distinct advantage over ChatGPT since the latter’s knowledge base covers information only up to year 2021.

Nevertheless, it will be interesting to watch how well Bard performs in other areas as opposed to ChatGPT. On a lot of queries posed to it, ChatGPT can provide well-reasoned and enlightening responses. It has learned from an extensive dataset containing lots of text so that when asked these kinds of things it will have many possible correct answers.

Bard still remains quite new as far as chatbots are concerned; hence no one knows how good or bad it is yet. Nevertheless this is a strong point for Google because they have many resources in NLP technology making them able to become fierce players in the market for chatbots.

It must be noted that both Bard and ChatGPT aim at complementing rather than replacing people’s knowledge and expertise. These chatbots can offer all sorts of information but they cannot actually replace what human beings know or realise.

In summary, just like any other AI conversational agent system out there today, Bard promises a lot. It is advantageous over ChatGPT since it can provide current information but its performance in other areas is not known yet. The development of these chatbots has taken a major leap forward in the field of NLP technology, and this area will see further improvements moving forward.