Gemini, DeepMind’s artificial intelligence model, combines the techniques learned for AlphaGo. It could surpass ChatGPT, and its development could take several months.
Google DeepMind CEO Demis Hassabis revealed plans to develop a artificial intelligence system called Geminiwhich could outperform the well-known OpenAI ChatGPT language model.
Gemini, a similar large language model a GPT-4, combines techniques from Alpha Go, another successful DeepMind project, with powerful language processing capabilities to improve your problem-solving and planning skills.
According to WIRED reports his goal would be to play a significant role in Google’s response to competing artificial intelligence technologies like ChatGPT. DeepMind’s expertise in reinforcement learning and other areas of artificial intelligence research could give Gemini novel capabilities.
“At a high level, you can think of Gemini as a combination of some of the strengths of AlphaGo-like systems with the amazing language capabilities of large models.Hassabis explains.
DeepMind could do that make your systems more accessible to outside scientists in order to address concerns about exclusion from academia in cutting-edge AI research.
“We also have some new innovations that are going to be quite interesting.”. Gemini was first teased at Google’s developer conference last month.when the company announced a series of new AI projects.
Demis Hassabis’ announcement has generated great excitement in the artificial intelligence community. Gemini, with its combination of AlphaGo and GPT-4 techniques, is expected to surpass ChatGPT and become a leading language model. However, it is critical to address the risks associated with advanced AI and develop it responsibly.
The deep mind researchers they work in areas ranging from robotics to neuroscience. Earlier this week, the company demonstrated an algorithm capable of learning to perform manipulation tasks with a wide range of different robotic arms.
Alpha Go, reinforcement learning
AlphaGo was based on a technique that DeepMind pioneered called reinforcement learningin which software learns to deal with difficult problems that require choosing what actions to take in Go or video games by making repeated attempts and receiving feedback on its performance.
also used a method called tree search to explore and remember possible moves on the board. The next big leap for language models may involve doing more on the Internet and on computers.
Gemini is still in development, a process that will take several months, Hassabis says. Could cost tens or hundreds of millions of dollars. Sam Altman, CEO of OpenAI, said in April that GPT-4 cost more than $100 million to create and the company loses money with every user interaction.
