Gemini, DeepMind’s competitor to the ChatGPT chatbot, is still in its infancy according to the most recent development update. However DeepMind’s CEO Demis Hassabis has expressed optimism that Gemini would ultimately outperform ChatGPT.
The development of Gemini is based on reinforcement learning techniques, while ChatGPT is based on a more conventional method of modeling language. Gemini has the potential to be more versatile and original than ChatGPT because of reinforcement learning’s ability to learn from its own experiences.
Gemini is being built to do more than simply chat, which is another way in which it stands out from ChatGPT. The ability to anticipate and solve issues is another goal of Gemini’s development; this would make it a potentially useful tool in many contexts.
DeepMind hopes Gemini will be ready soon, but it is too soon to tell when it will be launched. Gemini has the ability to significantly affect the AI industry if it can fulfill its promise.
Further information on the most recent Gemini development is as follows:
- The text and code dataset used to train DeepMind’s models is one hundred times larger than the one used to train ChatGPT.
- Gemini is being taught with a cutting-edge reinforcement learning system that far outperforms its predecessors.
- Gemini is being built such that it can process data from the physical environment using the Go language.
It’s too soon to tell if Gemini will have better functionality than ChatGPT. Gemini has the potential to be a major player in the field of artificial intelligence, and DeepMind’s early successes are promising.
Extreme consumer and investor excitement fuels the race for supremacy in the generative AI sector. By 2030, the generative AI industry, which includes text-analyzing AI like Gemini, may grow by 35.6%, according to Grand View Research’s projections, reaching $109.37 billion.