Google Introduces ChatGPT’s Competitor Bard

in #bardai2 years ago

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Google has launched its own experimental AI, Bard, powered by the search engine stalwart's LaMDA technology. This AI is designed to compete with Chat GPT, a popular chatbot developed by OpenAI and supported by Microsoft. LaMDA is a statistical method that predicts future words based on previous ones, allowing the chatbot to stimulate conversation in a flowing manner. Google Bard is initially only available to a small group of beta testers, but plans are in work to make it more accessible in the near future. The move comes as the war to dominate the new technological frontier intensifies, with Microsoft announcing its $10bn investment into ChatGPT's parent company OpenAI.

Google has launched its own AI chatbot service to compete with OpenAI's ChatGPT, which has over 100 million users. This is exciting news for the AI community, as more people rely on these chatbots to assist them with tasks and answer their questions. Google's top revenue strategy is based on being the number one search engine, so any competitor like ChatGPT is critical. There are some notable differences between ChatGPT and Bard, such as Lamda, Google's language model, which gathers information from the Internet to answer questions about recent events. Google will try to replicate this success with its AI model or risk losing its search influence.

The arrival of Google's AI chatbot marks a significant shift in the technology that tech brands will invest in over the next few years. Both Microsoft Bing and Google Bard are impressive AI-powered search engines that are making significant progress in their respective fields, with Bing being more user-friendly and Bard backed by Google's vast data. ChatGPT has the advantage in terms of availability, but Bard is still limited for a restricted set of testers. Google has put ten billion US dollars towards the operation, and it will be interesting to see what Google has planned for Bard. The outcome of this competition will be decided by what users want and expect, as well as how both search engines develop and keep improving.

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