In the realm of artificial intelligence, Google DeepMind Gemini stands out as a groundbreaking innovation that has captivated the minds of scientists and enthusiasts alike. With its extraordinary capabilities and potential, DeepMind Gemini is revolutionising the landscape of AI research and applications.
At last, we have got an unmatched competitor for GPT-4 and Bing AI which are the most stable and successful AI models currently. Google has been working on the biggest breakthroughs inAI to build more capable systems, safely and responsibly.
You must have heard the news that “AlphaGo” which is Google’s DeepMind program did beat the world champion, Lee Sedol, in the complex game of Go. And that’s an achievement for an AI system as that was the 1st AI program to beat a professional human ‘Go’ player.
What is Google’s DeepMind Gemini?
Gemini is an LLM (large language model) that works with thetext and is similar to GPT-4 which is the LLM powering ChatGPT. But Gemini will work with more kinds of inputs and not only text.
Just for your understanding, LLM is a type of neural network and a neural network is a method in AI that teaches systems or computers to process the input data in a way similar to a human brain.
Google DeepMind Gemini can be thought of combination of two things:
Google DeepMind Gemini = ‘Google Deepmind’ Organisation name + ‘Gemini’ AI Model name.
DeepMind Technologies is a British artificial intelligence research laboratory. It was acquired by Google and now it is known as Google DeepMind and serves as a subsidiary of Google. More specifically, DeepMind is one of the divisions of Alphabet and is responsible for developing general-purpose artificial intelligence.
Now let’s understand what is Gemini:
Gemini stands for Generalised Multimodal Intelligence Network. Gemini is a large language model that works with text and is similar to GPT-4 which powers ChatGPT. This AI is a network of models which can process various kinds of data and tasks simultaneously. It can be anything like text, images, audio, video, graphs and 3D models.
DeepMind uses raw data as input and learns from its experience and the patterns provided to it as input. The AI uses deep learning on a convolutional neural network with a model-free reinforcement learning technique called Q-learning.
It seems the above terms were a little difficult to understand. See below for a brief description of those.
Deep learning: An artificial intelligence (AI) method that teaches computers to process data similar to the human brain.
Convolutional neural network: A deep learning architecture.
Model-free reinforcement: Algorithms can be either Model-free (MF) or Model-based (MB).
MB- The system can learn by making predictions about the impacts of its actions. If it can only learn through experience then it is MF.
MF – The system can only learn through patterns and experience.
Q-learning: An AI approach that empowers a model to iteratively learn and improve over time by taking the correct action
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A big Claim by Google DeepMind’s CEO
Google DeepMind’s CEO-Demis Hassabis claims that Gemini’s Next Algorithm will surely Eclipse ChatGPT and will be more capable. And this one-liner is actually a big claim and puts a lot of responsibility on the DeepMind’s team to prove him right.
FAQs (Frequently Asked Questions)
Q1. How much time and money will the model cost?
A1. Google DeepMind Gemini will still take more months to complete and hundreds of millions of dollars which could go beyond $200 Million as ChatGPT required $100 Million.
Q2. What does Google’s DeepMind do?
A2. DeepMind does research in the field of artificial intelligence, machine learning, and neuroscience.
Q3. Is DeepMind still owned by Google?
A3. Yes, DeepMind is acquired by Google.
Q4. What is the salary of Google DeepMind?
A4. It depends on the position you are in. For a researcher at Google DeepMind, we can expect an annual salary package of 1 Crore INR.
Q5. What type of AI is Google DeepMind?
A5. Gemini is a generative artificialintelligence (AI). Now everybody would be wondering what is Generative AI. Well, Generative AI is a type of artificial intelligence which is capable of creating text, images, and media like audio, video etc in response to the prompts provided as input. Generative AI models learn input data patterns and then generate new data with the same characters.
Q6. What is the purpose of Google DeepMind?
A6. To bring revolution in the field of artificial intelligence, machine learning, and neuroscience.
Q7. Has Elon Musk invested in DeepMind?
A7. Elon Musk did invest in DeepMind in earlier times but not now after DeepMind was acquired by Google.
Q8. Which AI can replace Google?
A8. We have the most powerful AI ChatGPT. But Google’s DeepMind Gemini will be released to replace ChatGPT and surely will surpass it since Google has always come up with the most innovative and attractive products.
Q9. What programming language does DeepMind use?
A9. There are many but the main ones are Python, Java and C++. Others are R, Golang and Scala.
Q10. Who is the CEO of Google DeepMind?
A10. The CEO of Google DeepMind is Demis Hassabis.
Q11.What is the difference between DeepMind and OpenAI?
A11. DeepMind, OpenAI and Google Brain are Artificial intelligence research institutions. The common thing among them is AI research but they differ in their ways of executing the things in the field of AI.
DeepMind is a subsidiary of Alphabet Inc. (Google’s parent company) that focuses on developing AI with intelligence almost equal to humans.
OpenAI is a non-profit research organization doing research in Artificial Intelligence for the benefit of mankind.
Google Brain is a research project at Google working on deep learning, machine learning, and natural language processing.
Q12. Is Google DeepMind profitable?
A12. In earlier states, DeepMind was in loss but now it is profitable after Gemini.
DeepMind Gemini will break ChatGPT. Haha !
Nice artice