The announcement of Google Gemini has aroused great interest in the world of technology, promising to be the next fundamental model in the evolution of artificial intelligence. However, a recent piece of news has revealed that the Gemini launch was postponed in January. In fact, according to official information, Gemini was supposed to be released this week but the launch has been delayed until next year.
When Google Gemini, Google's core language model, comes out
Google Gemini represents a milestone in the evolution of artificial intelligence. Announced at I/O 2023, this fundamental model promises capacity multimodal awesome, overcoming the limitations of previous models. Despite initially planning a launch next week, Google has decided to postpone the event to January.
The decision resulted from the discovery that the AI didn't reliably handle some non-English queries, a fundamental aspect for global language support.
The CEO of Google, Sundar Pichai, expressed his desire to launch Gemini 1.0 as soon as possible, ensuring that it is competitive and cutting-edge. Currently, Google is finalizing the largest and primary version of Gemini. The goal is match or exceed the performance of OpenAI GPT-4, with some sources claiming that Google has already reached this standard in some aspects.
One of the most interesting features of Gemini is its ability to understand text and images, integrating effectively with tools and APIs, making it an attractive offering for third-party developers. With various sizes available, such as the lightweight “Gecko” for mobile devices, Gemini is designed to enable future innovations, such as memory and scheduling.
The crucial question remains: when Gemini will be integrated into Google services, such as Bard, Search and Workspace? This launch delay could have significant repercussions on the development and integration of Gemini, but its potential remains immense. In any case, Gemini will arrive at the beginning of 2024 and with it many new features on the Workspace suite.
Comparison with GPT-4
GPT-4 has become a benchmark in the chatbot field thanks to its impressive ability to generate detailed responses and conversations that feel almost human. However, when it comes to versatility and power, Gemini may have the potential to surpass GPT-4.
While GPT-4 specializes primarily in text generation, Gemini is designed to handle a multitude of data typesthe. This makes it potentially more useful in a wider range of applications, from virtual assistants to advanced automation systems.
Furthermore, Gemini's ability to process data from different sources, like YouTube, could give them an edge in terms of understanding context and culture.
