Google gets on the artificial intelligence train with its own tool for users. An assistant that will allow you to control different aspects and perform very varied actions is called Gemini and we will tell you everything about how it works. Gemini artificial intelligence is a model developed by the Mountain View company to compete in the sector against Microsoft, OpenAI and the like.
The proposed Google Gemini has the support of the search engine company, this implies a lot of money, time and professionals put at the service of its development. The main features of Gemini allow us to understand how artificial intelligence works and the type of objective they are looking for on Google to fight in the sector. Its recent confirmation, at the beginning of February, shows the importance of this technology in the sector.
How Google Gemini artificial intelligence works
El Google artificial intelligence model Gemini aims to lead the most competitive sector of the contemporary technology industry. This model is not a mere chatbot or applications like google bard, but they make up all the technology with which the apps work. That is why it is such an important advance and a sector in which Google is dedicating a lot of time and resources.
Gemini aims to be the PaLM successor, the artificial intelligence model that powers Bard today. In the work plan proposed by the developers, the idea is that little by little PaLM will be replaced by Gemini within the same application. Even when we use the same AI chat bot, the responses will improve little by little, incorporating these new protocols and mechanisms for preparing responses and searching for information.
The initial tests
Google Gemini generates a lot of expectations because the initial tests show superior results than the main rivals. Google even overtook OpenAI and GPT-4, although the advancement of this type of technology is constant and may change again in the future. Gemini's proposal is a multimodal model. It can understand different types of information, from text to images, and audio and programming code can also be entered. This allows us to think of a highly flexible artificial intelligence model, highly recommended for assisting and performing various functions, from requesting a text to describing a situation or contextual development questions.
How does Gemini work?
As other artificial intelligence models, Gemini is trained intensively by including massive amounts of information. Data is collected from all over the Internet and training algorithms are designed so that the language system learns to understand the things the user says to it. Then, you will have the information for queries and orders already inside, and Gemini will be in charge of generating written responses that seem natural and organic.
Google design Gemini from scratch. From its conception it is a multimodal model, paying attention to the different types of responses and requests that a user can make. It has not been trained only to respond in text format, but its training combines different modalities natively. For example, we can make a written order, or a drawing in real time. It will even be possible to link and relate objects in real time, suggest songs based on instructions and much more.
AlphaCode 2
This is the name of a new system for code generation which Gemini introduces. Helps improve understanding of complex mathematics as well as computer science theory. It gives the Gemini artificial intelligence greater reasoning capacity as well as understanding of the programming code, reducing the possibility of “hallucinations.” The answers then become much more reliable and practical for the type of use requested.
Differences with GPT
In Gemini artificial intelligence we will find three different versions: Ultra, Pro and Nano. The first is the most advanced and fully multimodal development. Gemini Pro is more limited in terms of capabilities and functions, while Nano is the version focused on mobile experiences and lower-powered devices.
Even designed for less power, Gemini Nano is a total revolution in the artificial intelligence sector. It can be used within the device itself and there will be no need to apply external apps. The clearest example is ChatGPT. In order to use artificial intelligence, an app must connect to the AI server. But Google wants Gemini to come directly installed on the mobile and no type of connection is required.
While Gemini Ultra competes directly in the same field as Chat GPT-4, Gemini Pro would be competing directly with GPT 3.5. Finally, Gemini Nano has no point of comparison because it is the first time that a technology developer aims to incorporate its artificial intelligence without a server connection and with local impact. OpenAI does not have a product with similar characteristics in its current catalog.
Another difference is that Google Gemini was born as a multimodal project in its conception, while Chat GPT is designed to interpret text requests. With Gemini we go one step further, looking for answers and interactions that also start from elements such as a drawing, a photo or an audio file.
When will Google Gemini arrive?
It is expected that in the next few months, and in a staggered manner, the three versions of Google Gemini begin to arrive in different parts of the world. In the case of Gemini Pro, it is already coming to Google Bard and countries like Spain can now make their queries and start enjoying the new experience.
Then it is expected to arrive Bard Advance, an improved version with Gemini Ultra. The advance could be present only at the end of the year, but there are no official dates. As for the Gemini Nano version, the Pixel 8 Pro models would be the first to receive it and a service called AICore would also be included so that app creators can use artificial intelligence in their tools.
Finally, Gemini is also expected to join many other tools from the Google ecosystem. From the search engine to the Google Ads tools, Duet AI or the Chrome web browser itself that would greatly take advantage of artificial intelligence.