Google’s DeepMind is set to create a strong competitor to OpenAI’s ChatGPT with its ambitious language model project. DeepMind, the research lab owned by Google, recently announced its plans to develop a large language model that aims to surpass the capabilities of OpenAI’s ChatGPT. With OpenAI revealing that the development of ChatGPT cost around $100 million, DeepMind’s entry into the field of artificial intelligence poses a significant challenge. DeepMind aims to push the boundaries and potentially outperform OpenAI’s ChatGPT, sparking an intriguing competition in the AI landscape.
DeepMind gained global attention in 2016 when its artificial intelligence program, AlphaGo, defeated a world champion Go player. Now, DeepMind’s co-founder and CEO, Demis Hassabis, has shared that the techniques used in AlphaGo will be utilized to develop Gemini, an AI system that aims to surpass OpenAI’s ChatGPT. DeepMind’s goal with this project is to continue pushing the boundaries of AI and create a system that can outperform existing models in various applications.
Gemini, DeepMind’s upcoming language model, is being developed to compete with OpenAI’s GPT-4, the engine behind ChatGPT. However, DeepMind plans to go beyond language processing by incorporating AlphaGo-specific strategies into Gemini. This integration aims to enhance the system’s capabilities with skills such as planning and problem-solving, setting it apart from existing language models. By combining text-based AI technology with AlphaGo-inspired methodologies, DeepMind aims to achieve new levels of performance and versatility in AI systems.
Demis Hassabis stated, At a high level, you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models. He further added, We also have some new innovations that are going to be pretty interesting. The project was first alluded to at Google’s developer conference last month, where the company unveiled several new AI projects.
DeepMind’s AlphaGo was constructed using a groundbreaking technique called reinforcement learning, developed by the DeepMind team. This approach involves training computer programs to handle complex decision-making tasks through iterative learning and performance evaluation. AlphaGo also utilized tree search, allowing it to explore and store potential moves on the game board. The combination of reinforcement learning and tree search played a crucial role in AlphaGo’s success in defeating world-class Go players.
The future of language models may see increased utilization of computers and the internet. Gemini, currently in development, is expected to take several months to complete. The project’s extensive development process may require significant investment, potentially reaching tens or even hundreds of millions of dollars.
Once completed, Gemini is anticipated to be a strong competitor to OpenAI’s ChatGPT and other generative AI technologies. Google’s recent entry into the space with AI tools and services, including the introduction of its generative AI system called Bard, seems to coincide with the launch of ChatGPT. Google has also integrated AI into its search engine and various other services, showcasing its commitment to advancing AI capabilities across multiple domains.
In pursuit of advancement, Google unified DeepMind with its primary AI lab, Brain, forming Google DeepMind. Hassabis emphasized the focus on synergizing these two influential entities, which have played pivotal roles in recent AI progress.
According to reports, Demis Hassabis has a track record of orchestrating AI breakthroughs that leave the tech giants amazed. Hassabis’ previous achievements have generated excitement and curiosity within the industry.
