What it is, how it works and how to use AI

By 2023, Google launched a new artificial intelligence in response to ChatgPT’s success. Google Gemini was born with the proposal to be multimodal, that is, capable of dealing with answers beyond the text, such as images, audio, video and even programming codes.

Creation marked an important movement: Google, which already dominated online search and was in the digital routine of billions of users, needed to mark the same presence in artificial intelligence. Gemini’s launch was an answer to maintaining relevance to competitors who were already gaining market.

In principle, the two platforms have the same approach, but with different strategies – and it is precisely in this comparison that there are some of the main advantages and limitations that we will see later.

Throughout this guide, you will understand what Google Gemini is for and what its main features and differences in relation to and tips to make the most of the tool in your daily life.

What is Google Gemini?

Google Gemini is a group of models developed by Google Deepmind. It was created to replace Bard, the company’s first attempt to launch a chatbot, and became Google’s official Ia’s official AI platform.

Gemini’s peculiarity is that it natively interacts with the entire ecosystem of the company. This means that it appears directly when searching, helps in writing documents on Google Docs, suggests automatic answers in Gmail, and also organizes data on Sheets.

That is, Gemini is not an isolated application, as it is already present in the services that millions of people use every day. By making this data talk to each other, it works as a large “artificial intelligence engine.”

All this integration is combined with multimodality. In practice, this means that it interprets different types of information – texts, audios, images, etc. – and respond unified, as humans do.

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What is Google Gemini for?

The Gemini system allows multiple uses, depending on the goal of each one.

For those seeking to optimize tasks, they help write emails, summarize extensive reports, organize agendas and even prepare presentations.

In the field of education, it can adapt the content to the student’s profile and need and create interesting learning experiences. In the legal environment, it can support lawyers by reviewing contracts, summarizing petitions, organizing jurisprudence and even suggesting adjustments in legal texts. Remembering that the feature does not replace a professional’s technical analysis, but can increase work efficiency by saving time on repetitive tasks.

Marketing professionals can also use AI in campaign creation and even video scripts. And programmers find assistance in writing and correction of codes in various languages.

In short, Google Gemini goes beyond chatbot, expanding the possibilities of using artificial intelligence in different areas.

How Google Gemini works in practice

Gemini was created to be a versatile system that fits naturally at different times of everyday life.

From the first access, it is clear that the tool can be used simply, such as answering questions or summarizing reports, for example. But if the user exploits more, he will realize that AI can go further: it talks to Google services, helps to organize more complex tasks and comprises different information formats.

No Google DocsGemini can elaborate a full text or review a document already written in a few seconds. It can also adjust the essay to make it clearer, change the tone of language (more formal or more relaxed) and even create executive summaries of longer texts.

No Sheetsits performance is also multiple. In addition to interpreting data and suggesting formulas, you can organize information in tables, detect standards, generate numbers -based projections, and create presentation charts.

Already in Gmailoffers personalized messages for messages, but can also write from simple instructions. And it can also adapt the message to different audiences (such as customers or teammates), as well as organizing the inbox by priority.

In some countries, Gemini already responds directly within the search results page on Google, delivering complementary summaries and links with user sources indication.

Practical examples of Gemini in Google services:

Google Gemini x Chatgpt: What changes in practice

It is virtually inevitable to compare Google Gemini and ChatgPT as both vie for leadership in artificial intelligence. But in fact, the ideal would be to seek to see the peculiarities of each one, instead of thinking about which one is best as they can be complementary.

The was consolidated in the elaboration of texts and dialogues in a more natural and creativity. It is an efficient model when demand involves more fluid writing or even imagination exercises, such as developing scripts and stories or structured presentations. In addition, it is widely used by developers, especially with features such as Advanced Data Analysis, which facilitates programming.

In turn, the structure of Google Gemini has been thought from the beginning to be multimodal, that is, focusing on different information formats. It stands out in tasks such as cross -information crossing, spreadsheet interpretation and everything else involving structured data. It is also efficient when you need to explain technical concepts or support academic work.

Native integration is another important differential as Gemini is embedded in the Google ecosystem. In other words, the user can enjoy the AI ​​without leaving the tools they already use.

For example, when writing in Gmail, Gemini may suggest answers in the same environment; When making or analyzing a spreadsheet, you can create formulas directly on sheets. This makes use more fluid for those who already have Google services in the routine.

In short: While chatgpt tends to be stronger in creative texts, Gemini stands out in data analysis and integration with Google tools that are already part of the user routine.

See the comparative summary:

LIMITATIONS AND CARE

Just like any other Ia, Gemini is not perfect, despite all the advances. It can make mistakes and give vague or incomplete answers, especially when it comes to very specific or depends on quickly changing information.

It is also important to remember that he learns from a large volume of data, and it depends on the quality of his answers. This means that it can reproduce distorted views based on the data it has accumulated over time.

Privacy is also another sensitive point when it comes to AI. It may not be a good idea to enter personal or confidential information, as it is not yet known how this data is stored.

Finally, you must always keep in mind that Google Gemini can be a great tool for gaining time and optimizing ideas and tasks, but will never replace the human look. The final word should always be from the user, especially when the themes require more critical analysis.

Tips to make the most of Google Gemini

Before you end this guide, it is worth gathering some practical tips that can help you get the most out of the tool. See the main points of attention in the table below: