Gemini is the latest and is a great model of AI by Google. It is capable of understanding the photos, video clips, and audio along with the texts that collectively provide an impressive interface. According to its creators, Gemini can answer queries related to mathematics, Physics, and many other subjects. It can also write and understand complex codes in various programming languages. However, we can access Gemini through Google Bard and Google Pixel 8. In addition to this, it will fold in distinctive Google services and platforms.
Dennis Hassabis’s description of Gemini:
In this aspect, Dennis Hassabis (Google Deep Mind’s Co-founder) said that; “Gemini is the result of large-scale collaborative efforts by teams across Google, including our colleagues at Google Research,” He also claimed that they designed Google’s new AI model as a multimodal specifically which includes generalizing, understanding and combing various type of data or information such as Texts, Codes, Videos and Photos together.
Who created Gemini?
Alphabet (Parent Company of Google) along with Google generated Gemini. They displayed this as their best-advanced AI model as compared to the previous ones. In addition to this, Google’s deep mind has also played a crucial role in the origination of Gemini.
Google aired a video about Gemini at the time of the announcement, which is a “what the quack” video. To which everyone shared their point of view. Bloomberg claims that Google has misrepresented the Gemini in the video. However, Parmy Olson appreciated the video. He said that it would be competent.
What are distinctive versions of Gemini?
The Gemini is a very flexible AI model of Google that can run a lot of things from the data center of Google to Smartphones. To attain such scalability, the Gemini will be launched in 3 distinctive sizes that are:
1. Gemini Nano:
The version of Gemini Nano is designed basically for the Google Pixel 8 and is also able to run on different mobile devices. It can perform all the tasks on a device that needs the perfect AI processing method even without the connection of any external servers. It can suggest replies in the applications of chatting or can summarize text for its users.
2. Gemini Pro:
The Gemini Pro can run on the data centers of Google. It has the capability to power the Bard which is the chatbot of the company. It can also deliver instantly and can even understand complex questions effectively.
3. Gemini Ultra:
It is not available to be used by everyone at the moment. Google claimed this as its most capable and efficient model. It can exceed “current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development”. It will perform difficult tasks and it will be available for use after its testing span.
Comparison between Gemini and Chat GPT:
To compare both the AI platforms, many experts think comparing parameters is the best way. The parameters show how much sophisticated an AI is. The parameters are the variables of AI that are adjusted or tuned at the stage of training or trial. Parameters are used by a certain AI to generate output from the input data. To compare the parameters of Chat GPT 4 and Gemini, Chat GPT displays 1.75 trillion parameters and Gemini has 30 trillion or 65 trillion parameters which is far more than Chat GPT 4.
But to understand the best AI platform, parameter figures are not enough. According to a Semi analysis, it has found that Gemini will easily smash Chat GPT 4. Many experts believe that by the end of this year, Gemini will surpass Chat GPT 4 with five factors, as it will be 20 times more powerful than Gemini.
Multimodal Capability:
Chat GPT is highly efficient but still not better than Gemini in the case of multimodal capacity as it can only work with language and code. However, the Gemini can work with language, code, and even images. It can even understand videos or images in real-time.
Moreover, the Gemini is a multimodal that can process and create images, texts, and many other aspects of data. The impressive capabilities of Gemini make it more versatile than Chat GPT as the Gemini can process far wider than texts. Google has invested unprecedented computation power to train Gemini better than Chat GPT4.
Chip of Gemini:
TPUV5 is a cutting-edge training chip that Google uses to train Gemini. The chip is an impressive technology that can orchestrate 16,384 chips collectively. This super chip plays a crucial role in making Gemini, a massive and highly-efficient model of AI.
Data:
However, the training of AI is not dependent on the chip only but also on the data that is used. Regarding data, Google can be considered the ruling king as it has an immense collection of code data and approximately 40 trillion tokens. The forty billion tokens are equal to almost hundreds of petabytes of data present in more than millions number of books. The Google dataset is four times greater as compared to Chat GPT 4 which used codes and non-codes data.
Conclusion:
Gemini, Google’s efficient AI model brings advancement in the platforms of AI significantly. Google along with Google research and deep mind collectively developed Gemini. Gemini is highly capable of understanding images, videos, audio, texts, and even far more complex programming codes of different languages. It has introduced its three versions which include Nano, Ultra, and Pro Gemini. This multimodal demonstrates flexibility to work in smartphones along with data centers. The parameters of Gemini are far more than Chat GPT4 which makes Gemini more versatile than Chat GPT 4. Gemini Powers with a cutting-edge chip of TPUv5 and extensive datasets, Gemini has become a powerful AI model.
