Google Launches Gemini 1.5 Flash: More Speed ​​and Better Image Understanding

Gemini Flash intelligence and its contributions

La Artificial Intelligence is the area of ​​greatest technological development in recent years. And actors like Meta and Google also join in to compete and lead in the sector. Gemini 1.5 Flash is Google's enhanced platform for greater speed and image understanding. With its new model, there are now four that Google offers: Gemini Nano, Flash, Pro and Ultra.

In the Google I/O The future of Android and Artificial Intelligence was discussed with the presentation of Gemini 1.5 Flash and its great increase in speed and quality of responses. Google's crossroads is very striking, because the company specializes in Artificial Intelligence. It was the company that created the main tools to train AIs, but it no longer occupies the podium in language models and generative intelligence. Open AI is the benchmark company in the sector, and innovation does not stop with the recent launch of GPT-4o, which continues at the top. Google's response with Gemini 1.5 Flash was immediate.

Gemini 1.5 Flash, a trimmed AI but focused on speed

When comparing the artificial intelligence from Google and Open AI, the difference in terms of speed was obvious. The Chat-GPT 4o model made order rating and word-by-word writing reach new levels. And Google does not want to be left behind.

The fact that AI taking a long time to respond makes the learning model less natural and generative responses. That is why the new Gemini 1.5 Flash aims to accelerate response times, but without losing multimodal behavior. The latest version of Google's AI does not lose its ability to understand, it continues to analyze the context and can interpret words and images. But with a really improved response time. Its training is based on the Gemini 1.5 Pro version and removes some processes to optimize execution speed to the maximum.

What could be seen in Google I/O shows a notable improvement. The advance in speed enables you to extract documents, summarize emails, interpret tables and many other functions. In addition to this new model, Google also optimized the operation of Gemini 1.5 Pro. This is the model that currently gives life to the free Google chatbot. The chatbot understands the instructions more broadly and different formats can be used. It also has the ability to interpret styles, and Google assures that the behavior is a little more human than in previous versions.

The AI ​​changes also affect the Gemini Nano version. In this case, generative AI at the level of Pixel devices also becomes multimodal. This means that in addition to understanding text, it can analyze images. It is available on the Google Pixel 8 and will still be version 1.0, unlike 1.5 in its other three iterations. It was also announced that it will reach other Google Pixel models. The new Gemini 1.5 Flash It is available in the Google API for developers and in the company's chatbot for all users. As for the deployment of Gemini Nano, it will be transferred to different Google Pixels as the days go by.

How are Google's Artificial Intelligence models different?

The three main artificial intelligences that Google promotes They are called Gemini 1.5, Pro and Flash. They are similar, but they have substantial differences that allow the choice to vary according to the use and needs of each platform. All three work in the cloud, which is why they share the main axis of operation.

Google Gemini is the name of the intelligence models, but it is also the name of the Mountain View conversational chatbot. The Gemini that has a version number is not the Artificial Intelligence assistant, but refers to the underlying technology.

What is the new Gemini Flash like?

What is Gemini 1.5?

The latest version of the Google AI model It was presented in February 2024. It is a model that competes with others such as GPT. It is currently the engine of the Artificial Intelligence button called Gemini, and competes directly with the Open AI ChatGPT proposal.

Gemini 1.5 originally came about with the idea of ​​offering a personal assistant as well as a business tool. The model is ultimodal, it understands text messages and the context of a photograph. If we upload a photo, the AI ​​will be able to understand what the order surrounds and means and how to extract different data.

Their approach features an improved architecture called Mixture-of-Experts. Its advantage is that it achieves greater efficiency, and its internal expert fields allow for faster responses and the quality of the responses, regardless of the type of query.

When we make a consultation with Gemini 1.5, only the expert search modules are activated for each topic. Thus, the type of recommendation or search becomes much more focused and specific. A complaint that had become quite recurrent compared to the Chat GPT-4o responses.

Gemini 1.5 Pro improvements

The most advanced and professional version of Gemini 1.5. It is a medium-sized Artificial Intelligence model, optimized to improve performance in a wide range of different actions. It can process natural language to generate texts, summarize them, answer questions and analyze code in different languages. It also detects errors and can be your assistant and generate your own code according to instructions. Being multimodal, it also processes images and identifies elements, classifies and describes them.

Its main difference is that it has a comprehension window of 1 million tokens, compared to the standard of the base version which is reduced to 128.000. The more tokens, the greater the precision and fluency in the responses it provides. Gemini 1.5 Pro is also capable of processing and understanding what is happening in a video and summarizing content directly from an audiovisual base.

The Gemini 1.5 Flash proposal

Por último, la Gemini 1.5 Flash artificial intelligence It is lighter and more efficient, but with some reductions that speed up its response. It shares the 1 million tokens window with Pro and is capable of interpreting audio, photos, videos or text. It is designed to work in virtual assistants, chatbots and content moderation systems on social networks.


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