Google Gemini Statistics By Features, Performance and AI Versions
WHAT WE HAVE ON THIS PAGE
Introduction
Google Gemini Statistics: In 2023, Google unveiled the most powerful AI model to date. Google Gemini is the world’s most advanced AI leaving the ChatGPT 4 behind in the line. Google has 3 different sizes of models, superior to each, and can perform tasks accordingly. According to Google Gemini Statistics, these can understand and solve complex problems related to absolutely anything. Google even said, they will develop AI in such as way that it will let you know how helpful AI is in our daily routine. Well, we hope our next generation won’t be fully dependent on such technologies, otherwise, we will lose all of our natural talent!
Editor’s Choice
- Google Gemini can follow natural and engaging conversations.
- According to Google Gemini Statistics, Gemini Ultra has a 90.0% score on the MMLU benchmark for testing the knowledge of and problem-solving on subjects including history, physics, math, law, ethics, history, and medicine.
- If you ask Gemini what to do with your raw material, it can provide you with ideas in the form of text or images according to the given input.
- Gemini has outperformed ChatGPT -4 tests in the majority of the cases.
- According to the report this LLM is said to be unique because it can process multiple types of data at the same time along with video, images, computer code, and text.
- Google is considering its development as The Gemini Era, showing the importance of our AI is significant in improving our daily lives.
- Google Gemini can talk like a real person
- Gemini Ultra is the largest model and can solve extremely complex problems.
- Gemini models are trained on multilingual and multimodal datasets.
- Gemini’s Ultra performance on the MMMU benchmark has also outperformed the GPT-4V in the following results Art and Design (74.2), Business (62.7), Health and Medicine (71.3), Humanities and Social Science (78.3), and Technology and Engineering (53.00).
What is Google Gemini?
Google Gemini is a large language model made by Google and Google Deepmind and launched on December 6th, 2023. This multimodal large language model is a successor to PaLM2 and LaMDA. According to the report this LLM is said to be unique because it can process multiple types of data at the same time along with video, images, computer code, and text. 13th December onward, users will be able to use Gemini Pro. Google’s Bard Chatbot is also using Gemini Pro for understanding, planning, and reasoning in advanced ways. Google is considering its development as The Gemini Era, showing the importance of our AI is significant in improving our daily lives.
Features
- Google Gemini can talk like a real person.
- It can solve extremely complex problems on anything.
- It can understand and process various information such as code, music, images, text, and much more.
- Google Gemini can follow natural and engaging conversations.
- This AI is scalable and can become a base of many different platforms.
- Moreover, it can protect user’s data with utmost privacy.
- It can be customized according to the needs or tasks.
- If you ask Gemini what to do with your raw material, it can provide you with ideas in the form of text or images according to the given input.
- In short, it can translate language, change the writing tone, create content, answer complex questions, write code, solve maths problems, and give ideas and tips.
- Gemini models are trained on multilingual and multimodal datasets.
- The primary language for the operation of this platform is English.
- It has not been developed with full potential to work with integration with Bard.
3 Sizes of Google Gemini Explained
- Gemini Ultra (can solve highly complex tasks and is the largest language model) – This is the most advanced and powerful model in the Gemini series. It has excelled and outperformed ChatGPT-4 models on almost every benchmark test. This site is useful for solving advanced or extremely complex problems.
- Gemini Pro (Can perform a wide range of tasks) – Gemini Pro is a better version of PaLM-2, which is currently supporting Google Bard. However, this middle version is a perfect balance between Ultra and Nano sizes. This site can be used to create text formats, generate creative content, and translation tasks.
- Gemini Nano (effective model for on-device tasks) – Compared to other sizes, nano is a limited but efficient version that is compatible with Android devices. This can be used for providing answers to easy questions, writing emails, or setting reminders.
General Google Gemini Statistics
- Google Gemini has successfully outperformed human experts on Massive Multitask Language Understanding (MMLU) which is the most popular method to test abilities of problem solving as well as the knowledge of AI models.
- Furthermore, according to Google Gemini Statistics, Gemini Ultra has a 90.0% score on the MMLU benchmark for testing the knowledge of and problem-solving on subjects including history, physics, math, law, ethics, history, and medicine.
- The first version of Gemini can understand, explain, and generate high-quality code in popular programming languages such as C++, Python, Java, and Go.
- Gemini has outperformed ChatGPT -4 tests in the majority of the cases.
- Gemini’s Ultra performance on the MMMU benchmark has also outperformed the GPT-4V in the following results Art and Design (74.2), Business (62.7), Health and Medicine (71.3), Humanities and Social Science (78.3), and Technology and Engineering (53.00).
- The overall Gemini Ultra score in the MMMU test was 62.4 compared to 56.8 for GPT-4V.
Comparing The Performance Between Gemini and GPT-4V
|
Capability
|
MMLU
|
Representation of questions in 57 subjects (incl. STEM, humanities, and others)
|
90.0%CoT@32*
|
86.4%5-shot** (reported)
|
|---|---|---|---|---|
|
Reasoning
|
Big-Bench Hard
|
A diverse set of challenging tasks requiring multi-step reasoning
|
83.6%3-shot
|
83.1%3-shot (API)
|
|
DROP
|
Reading comprehension (F1 Score)
|
82.4Variable shots
|
80.93-shot (reported)
|
|
|
HellaSwag
|
Commonsense reasoning for everyday tasks
|
87.8%10-shot*
|
95.3%10-shot* (reported)
|
|
|
Math
|
GSM8K
|
Basic arithmetic manipulations (incl. Grade School math problems)
|
94.4%maj1@32
|
92.0%5-shot CoT (reported)
|
|
MATH
|
Challenging math problems (incl. algebra, geometry, pre-calculus, and others)
|
53.2%4-shot
|
52.9%4-shot (API)
|
|
|
Code
|
HumanEval
|
Python code generation
|
74.4%0-shot (IT)*
|
67.0%0-shot* (reported)
|
|
Natural2Code
|
Python code generation. New held out dataset HumanEval-like, not leaked on the web
|
74.9%0-shot
|
73.9%0-shot (API)
|
(Source: deepmind.google)
As per the above comparison, Google Gemini Statistics, this AI model has been successful in almost all of the benchmark tests with text versions of reasoning, math, code, and general.
(Source: blog.google)
Further Google Gemini Statistics of state-of-the-art performance on various multimodal benchmarks, Gemini proved to be superior to its competitor.
Google Gemini Statistics by AI Versions Comparison
| Feature | Gemini 1.0 | Gemini Nano | Gemini Pro | Gemini Ultra |
|---|---|---|---|---|
| Number of Parameters | 1.6 trillion | 100 billion | Up to 100 trillion | 100 trillion |
| Training Data Set | 1.56 trillion words | 1.56 trillion words | Customized | 100 trillion words |
| Launch Date | December 2023 | December 2023 | 2023 | 2025 |
| Execution | In the cloud | On the device | In the cloud | In the cloud |
| Cost | Free | Free | Subscription-based | —- |
(Source: merca20.com)
Google Deepmind Paper Features Gemini Solving a Physics Problem Depicted in a Drawing and Handwriting
(Source: cmswire.com)
Just in the above example, the example on the left hand is written by the student and was uploaded to Google Gemini. The AI model was able to rectify the student’s answer and explain where it went wrong and even solved the mathematical problem with a step-by-step explanation.
Conclusion
When we were thinking about ChatGPT being the most powerful, Google announced the launch of Gemini the most powerful AI ever created. According the Google Gemini Statistics, this AI model has passed every benchmark test with better scores compared to ChatGPT4. Not only this, but the dataset used to build Gemini is 4x larger than it is used to train ChatGPT 4.0, including non-code and code data. Google has offered its services in many sectors today, and it is committed to making versatile and powerful applications that will help human beings and make them realize how AI is important in our daily lives.
FAQ.
Gemini Pro can be used within Bard. To enable this, go to www.bard.google.com, then log in with a Google account and Gemini will be automatically activated.
Google Gemini Nano is compatible with Pixel 8 Pro. It can be enabled by going to settings on WhatsApp, then Settings - developer options and enabling AiCore Persistent for smart reply.
It can understand and process videos, text, audio, code, and images. It can give you suggestions. This AI has been successfully scored in every benchmark test of MMLU (Massive Multitask Language Understanding).
Looking at the overall performances during benchmark tests, Google Gemini has proven to be more powerful than ChatGPT. ChatGPT charges some amount to use its most advanced model, however, Google has not specified any charges for using any of its advanced models till today.
Google Gemini beta version is launched and can be used in integration with Google Bard
Multimodal refers to the learning method which includes audio, text, images, and other kind of input data. Having a multimodal is considered to be the most powerful performing technology as of today.
Gemini 1.0 and Gemini Nano are free to use. However Gemini Pro is a subscription-based model. Whereas there is no information given by the company about the pricing structure of Gemini Ultra.
Google Gemini is developed by DeepMind.
Barry is a lover of everything technology. Figuring out how the software works and creating content to shed more light on the value it offers users is his favorite pastime. When not evaluating apps or programs, he's busy trying out new healthy recipes, doing yoga, meditating, or taking nature walks with his little one.
