The company plans to equip the chatbot with features that helped AlphaGo defeat a human Go champion.
Large language models , such as GPT-4 that powers ChatGPT, also use reinforcement learning to improve their performance. DeepMind plans to leverage its expertise from teaching a computer program how to master complex games like Go into its upcoming system Gemini with the aim of significantly surpassing GPT.
For instance, AlphaGo was capable of a function called tree search where it could compute possibilities of different moves on the board. When translated to language models, this could help them perform multiple tasks at once.neuroscience . Last week, it showcased an algorithm in which its robot arms can perform manipulation tasks, a much more complex skill than text prediction.
Hassabis is confident that his team can equip Gemini with capabilities to solve problems and also plan tasks, making it much superior that OpenAI's offering. Anticipated expenditures for DeepMind on Gemini are estimated to reach tens of millions of dollars, mirroring the investment made by OpenAI for its GPT-4 model.that it could be months before the system is ready and one will have to closely monitor OpenAI's moves to ascertain whether DeepMind can genuinely beat ChatGPT.
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