Google Gemini AI Chatbot Nears Launch, Ready to Challenge GPT-4

Google CEO Sundar Pichai announced Gemini, a future AI system rival to Google GPT-4, at the Google I/O developer conference in May 2023. This large language model (LLM) is being developed by the Google DeepMind division, which includes the Brain Team and DeepMind. Gemini could reportedly launch soon.

Gemini can handle text, graphics, and other types of data for more natural discussions because it is intended to be multimodal. Sundar Pichai, CEO of Google, also hinted at potential capabilities such as memory and activity planning that require logic.

ChatGPT is a well-known name in the field of generative AI. To compete, Google is developing its own version, Gemini. According to The Information, Google is offering select developers early access to Gemini through its API. This allows them to integrate Gemini into a variety of applications. While these developers are working with a limited version of Gemini, Google is still developing the full version, which is expected to compete with GPT-4 and be available soon.

Google Gemini could be launched to the public soon

Pichai clarified Gemini’s place in Google’s vision in an interview with Wired a few days later. He stated that conversational AI systems like Bard are simply stepping stones to complex chatbots. Pichai emphasized that Gemini and future generations will become universal personal assistants that will be closely integrated into people’s daily lives, including travel, work and entertainment. He reiterated that Gemini would combine text and images, making current chatbots obsolete in a matter of years.

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Google Cloud customers can access generative AI tools through Vertex AI. Gemini is likely to be included in this offer. For an additional $30 per month, business users can get access to Duet AI, which is integrated with Workspace apps. Duet AI, on the other hand, builds on Google’s existing AI models and primarily handles text-based searches.

It is vital to remember that Gemini has the ability to generate many types of data, such as text, graphics, and code. This distinguishes it from previous Google models, such as PaLM 2, which were limited to text input and output. While we don’t have all the data yet, Google’s work in this space is promising and we can anticipate the corporation will develop more advanced generative AI tools in the future.

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