Google Bard Vs ChatGPT | What is ChatGPT? | Can ChatGPT beat google?

 

ChatGPT (Pretrained Chat Generation Transformer):

It is a chatbot developed by OpenAI that uses both supervised and reinforcement learning techniques. And launched in November 2022.

                                            

The basic function of a chatbot is to imitate a human. For example, it can write and debug computer programs, compose music, teleplays, fairy tales and student essays, answer test questions, write poetry, song lyrics, play games like tic-tac-toe, etc. Unlike most chatbots, ChatGPT remembers previous challenges given to it in the same conversation; journalists suggested that this would allow ChatGPT to be used as a personalized therapist

ChatGPT was launched on November 30, 2022 by San Francisco-based OpenAI. The service was launched as initially free to the public, with plans to monetize the service later. As of December 4, OpenAI estimates that ChatGPT already has more than one million users. As of January 2023, ChatGPT has reached over 100 million users, making it the fastest growing consumer app to date.

On December 10, 2022, Google expressed concern internally over the unexpected power of ChatGPT and the newfound potential of large language models to disrupt the search engine business, and CEO Sundar Pichai "turned around" and redeployed teams across several departments to help with its AI products, according to a report in The New York Times. Web Information reported on January 3, 2023 that Microsoft Bing plans to add an optional ChatGPT feature to its public search engine, likely around March 2023.

 

Google Bard:    

                                        

Google has announced its AI chatbot Bard - a rival to OpenAI's ChatGPT, which is set to become "broadly available to the public" in the coming weeks.

Google Bard is based on the LaMDA language model, trained on datasets based on Internet content called Infiniset, about which very little is known about where the data comes from and how it was obtained.

A 2022 LaMDA research paper lists the percentages of different kinds of data used to train LaMDA, but only 12.5% ​​comes from a public data set of crawled content from the web, and another 12.5% ​​comes from Wikipedia.