More parameters means a bigger neural network that is generally more capable of executing more complex tasks but requires more computational power to run. Each is likely separated in complexity by parameter count. Google says Gemini will be available in three sizes: Gemini Ultra ('for highly complex tasks'), Gemini Pro ('for scaling across a wide range of tasks'), and Gemini Nano ('for on device tasks' like Google's Pixel 8 Pro smartphone). 'Its remarkable ability to extract insights from hundreds of thousands of documents through reading, filtering, and understanding information will help deliver new breakthroughs at digital speeds in many fields from science to finance.' 'Gemini 1.0’s sophisticated multimodal reasoning capabilities can help make sense of complex written and visual information,' writes Google. Google says this will power a new era in computing, and it hopes to tightly integrate the technology into its products. The goal is to make a type of artificial intelligence that can accurately solve problems, give advice, and answer questions in various fields-from the mundane to the scientific.
That means it can process text, code, images, and even audio.
Like GPT-4, Gemini can handle multiple types (or 'modes') of input, making it multimodal. Further Reading The AI race heats up: Google announces PaLM 2, its answer to GPT-4
