Gemini, Google DeepMind's latest breakthrough, which promises to combine the prowess of AlphaGo and the technologies behind AIs like GPT-4-based ChatGPT for revolutionary AI.
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Demis Hassabis unveils Gemini
A wind of excitement is blowing through the world of artificial intelligence. Demis Hassabisthe general manager of Google DeepMindrecently unveiled a project currently under development: Gemini. This ambitious algorithm should benefit from the techniques for whichAlphaGothe AI system capable of dethroning a Go champion in 2016. This announcement piqued the curiosity of specialists and the general public alike, eager for technological innovations.
This revelation is of particular significance. The success of AlphaGo was a real feat, demonstrating to the world the potential of artificial intelligence. By taking up the torch from its predecessor, Gemini could open up unsuspected avenues, and perhaps even revolutionize our relationship with technology.
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In an interview revealed by WiredDemis Hassabis, head of Deepmind, indicated that the company plans to exploit its know-how in reinforced learning to endow Gemini with unique traits. By taking advantage of the methods implemented by AlphaGo, notably reinforced learning and tree search, Gemini aims to develop unprecedented skills, such as complex problem-solving and anticipation.
Gemini: a major step forward in our technological era
At a time when digital technology is taking over our lives, the emergence of Gemini could open up unprecedented horizons. Drawing on proven techniques such as those used by AlphaGo, Gemini has the potential to push back the boundaries of what was thought possible in artificial intelligence.
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But technical prowess aside, what's really exciting about Gemini is its game-changing potential for information and communication technologies. Indeed, if Gemini works as well as Hassabis hopes, it could revolutionize the way we interact with machines and, by extension, the world.
In a world where communication has become essential, integrating Gemini into our digital tools could make them more efficient, more intuitive and more user-friendly. Ultimately, our whole relationship with technology could be transformed.
The next announcements from Google DeepMind will be closely watched. For if Gemini lives up to all its promises, it could well mark a major turning point in the history of artificial intelligence and, more broadly, in the history of technology.
AlphaGo, the genesis of Gemini
As you can see, AlphaGo has played a major role in the development of Gemini. AlphaGo relies on a technique developed by DeepMind: reinforcement learning. This method enables the software to learn how to solve complex problems that require choosing which actions to take, as in the game of Go or video games, by making multiple attempts and receiving feedback on its performance.
It should be noted that Hassabis' team also plans to use a method called tree search to explore and remember possible movements on the board. All in all, the next big advance for linguistic models could involve them performing more complex tasks on the Internet and on computers.
Gemini architecture: A symbiosis between AlphaGo and GPT-4
That's all well and good, but what do we really know about Gemini? Gemini's special feature is its ability to combine the strengths of AlphaGo, the champion of the game of Go, with those of major language models such as GPT-4. This exceptional fusion promises an unprecedented artificial intelligence system, endowed with unprecedented power and versatility. Reinforcement learning, the key technique of AlphaGo, and advances in tree search, will be considerable assets for Gemini.
According to Deepmind CEO Demis Hassabis, these combined methods will enable Gemini to solve complex problems and plan efficiently. What's more, Gemini will benefit from ground-breaking innovations that will boost its performance and efficiency.
Hassabis indicates that his team is using AlphaGo's techniques to create an artificial intelligence (AI) system that would be more competent than the one behind AlphaGo. OpenAI ChatGPT.
Gemini development and implications
Hassabis has indicated that it will be in the development and training phase for several more months. Its development could cost tens, even hundreds of millions of dollars. It's a bold gamble on the part of Google DeepMind, which sees Gemini as a key response to the evolution of generative AI technologies like ChatGPT.
The system will come in several formats, and will be designed to accommodate future innovations such as memory and scheduling. There is even talk of a trillion-parameter model, like GPT-4, requiring the use of tens of thousands of Google's TPU chips for training.
The future, issues and challenges of AI
We need to learn to appreciate these advances, while keeping in mind the challenges and stakes involved. In the case of Gemini, one of the major challenges could be the cost of its development. According to OpenAI CEO Sam Altman, it would have cost over $100 million to create GPT-4.
In addition, AI experts expressed concern that the technology could be used maliciously, or that it would be difficult to control. Some technology insiders even called for a pause in the development of more powerful algorithms to avoid creating something dangerous.
Hassabis, however, remains convinced that the extraordinary potential benefits of AI, as for scientific discovery in fields such as health or climate, make it imperative that mankind does not stop developing the technology. He also believes that it would be virtually impossible to implement a mandatory pause.
Hassabis' announcement on the development of Gemini opens up exciting new prospects for the future of AI. Despite the challenges and potential risks, it is clear that advances in this field will continue to transform our world in significant ways.
