Gemini AI: Google has decided to change the name of its chatbot Bard to Gemini. Additionally, they are introducing a new mobile app for both Android and iOS users. This app will allow people to interact with the Gemini chatbot more easily on their smartphones.
Furthermore, Google is releasing Gemini Ultra 1.0, which is the biggest and most powerful version of their language models. This means that Gemini Ultra 1.0 can understand and respond to a wide range of questions and conversations more effectively than before.
These updates demonstrate Google’s commitment to enhancing its artificial intelligence technology and providing users with better experiences when using its services.
Beginning today, Gemini will be accessible in more than 150 countries and territories, where people speak English. This means that individuals from various parts of the world can now use Gemini to chat and interact.
Moreover, Gemini Advanced will be included in the Google One AI Premium Plan, which costs $19.99 per month. Initially, users can try out Gemini Advanced for free for two months before deciding whether to continue with the paid subscription.
These changes offer users a wider reach and more advanced features when using Gemini. By making it available in numerous countries and territories, Google aims to make its AI chatbot accessible to a larger audience. Additionally, offering Gemini Advanced as part of a subscription plan provides users with the opportunity to access enhanced functionalities for a nominal monthly fee.
The big internet company says its chatbot is now available in 40 different languages. They are calling the version with Ultra features Gemini Advanced. This version is supposed to be better at thinking, following instructions, doing coding, and working creatively with others. They claim it can act like a personal teacher that’s customized to fit how you learn.
According to the company’s announcement, Gemini Advanced with Ultra 1.0 is the most popular chatbot when compared to other top choices in tests done by outside experts. It is made to let users have longer, more detailed conversations and even understand what was said before.
When you use Gemini on your phone, you can type, talk, or even add a picture to get help from the AI when you’re out and about. For instance, you could snap a photo of a flat tire and ask for guidance, or create a custom image for invitations to a dinner party.
If you download the Gemini app on an Android device or choose to use it with Google Assistant, you’ll be able to access it easily. You can open the app or activate the assistant like you usually do, such as by pressing the power button or swiping a corner on certain phones. A new overlay will appear, making it simpler to access the Google chatbot for immediate help right on your screen.
Table of Contents
Search Generative Experience (SGE)
In a recent blog post, Sundar Pichai, CEO of Google and Alphabet, talked about how AI has been a major focus for Google to make their products better. He mentioned the progress made with Search Generative Experience (SGE), which you can test out in Search Labs.
Pichai highlighted the importance of AI in Google’s Cloud and Workspace services, as well as in Google One, their subscription service. He mentioned that Google One is close to reaching 100 million subscribers, showing its popularity among users.
Additionally, Pichai mentioned that over a million Workspace users are already using features like Help Me. He also noted that Duet AI will soon be renamed Gemini for cloud customers in the upcoming weeks. This change reflects Google’s ongoing commitment to improving its services using advanced AI technology.
AI Adoption
Can we do our normal work through Artificial Intelligence? There is an adoption rate. In the past 5 years, it has increased by 2 times. In the next year, it may increase by 2 times again. So, AI adoption is now in many places, by many companies, and by people who want to start a business, it is being handled.
So, this is AI adoption, compared to the normal narrow AI, the current generative AI has become a super thing. This narrow AI is nothing else. Before this, we used Artificial Intelligence, which is just a prediction. If we stand there, a man is standing there, a woman is standing there, it will show the difference. That is called narrow AI. It is not called generative AI.
Generative AI
With the input given to it, it will generate an image, a code, a video, or a text. So, like this, based on the given input, instead of just observing, it creates a lot of real things, media, and the generative AI has created a revolution. For eg, if we upload an image, and ask to change that image, it will give accuracy. That is generative AI.
Google Gemini
Google Gemini is an Artificial Intelligence that exists in modern times. This artificial intelligence specifically, Generative AI is not a new concept. We have been studying and talking about Generative AI since the 1960s.
Generative Adversarial Network (GAN)
But, only in 2014, GAN (Generative Adversarial Network) is being studied. After that, there is a lot of awareness about it, and a lot of research and development happening. So, what can we do with this GAN network? We can bring Generative AI in a very realistic way. For that, when our scientists, our programmers, and our engineers come, the fire in the world of artificial intelligence starts to catch fire. This Google Gemini, which we are seeing now, is a child born from that fire.
These two things are the reason for the big change behind this generative AI or GAN network. One term is Transformers. Another term is Breakthrough Language Models They Enabled. We have to feed a lot of data. But this data is called Models. We have to label this data first. But, now the transformers are ever larger models without labeling. In our AI, we can use the technology called Transformer.
If we create a new model, we will able to feed and train data of billions of text and websites without labeling. So, only with the use of these transformers, we can create a very accurate and realistic output.
LLM (Large Language Model)
This Big Language Model has become powerful. But with Google Gemini, it’s not just about using one model and getting its results. Gemini can use multiple models at the same time, which is a big deal for Large Language Models (LLMs).
When you show it a video and ask for a response, Gemini needs to identify the model you’re using, analyze the information it has, and then give you a response in various forms like voice, video, or image. This means Gemini can understand different types of data and provide suitable outputs depending on what you need.
So, instead of just using one model and giving one type of answer, Gemini can use its multi-model capability to give you more diverse and useful responses. This makes it handy for different tasks and situations where you need varied types of information.
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