Prior to the much-anticipated release of its conversational artificial intelligence software Gemini, Google is said to have taken a giant step. According to an article from The Information, the tech giant owned by Alphabet has granted access to the future AI software to a select number of businesses.
Gemini is reportedly close to being prepared to compete against OpenAI’s GPT-4.For Google, whose investments in generative AI have surged this year, the Gemini launch is of utmost significance. The debut of ChatGPT, supported by Microsoft-funded OpenAI, last year captured the attention of the tech industry. This move is considered as Google’s attempt to catch up.
Gemini is a collection of comprehensive language models that power a variety of applications, such as chatbots and features like text summarization and user-specific content creation. According to the research, these programs cover activities including writing email drafts, creating song lyrics, and creating news stories.
Gemini is also expected to help software programmers with coding and producing original pictures in response to user requests. The larger version, which is expected to have capabilities comparable to GPT-4, is currently being made available to developers by Google, however it isn’t the largest version currently in development.
Gemini will be made available to businesses through the Google Cloud Vertex AI service, according to the American tech corporation. For customers in India and Japan, the company added generative AI capabilities to its Search tool last month. The display of text or graphic results in response to prompts, including summaries, is made possible by these elements.
Additionally, Google charged enterprise clients $30 per user each month for access to its AI-powered tools.
During a recent interview, Google CEO Sundar Pichai was all love for OpenAI and mentioned that the introduction of ChatGPT was a “exciting moment” for him. Pichai added that the development of artificial intelligence has resulted in a “profound platform shift” and is now at a point where deeper deployments are possible.
