Google has recently launched a powerful new AI model called Google Gemini that is designed to be multimodal
What is Google Gemini AI?
Google has launched Gemini, their largest and most capable AI model. It was purposefully constructed to be multimodal, enabling it to generalize and seamlessly combine different types of information such as text, code, audio, image, and video.
This means it can process not only text but also images, videos, audio, and code. Google Gemini comes in three versions: Gemini Ultra, Gemini Pro, and Gemini Nano. According to reports, it has outperformed previous state-of-the-art AI models on various benchmarks and is currently being integrated into various Google products like the Bard chatbot and the Pixel 8 phone. Developers and business clients can use the Gemini API to access Gemini Pro on Google’s AI Studio and Google Cloud Vertex AI. The model is currently unavailable in the European Union, but Google intends to introduce support for additional languages in the near future.
Google’s new AI model, Gemini, is a powerful and advanced model designed to be multimodal, capable of analyzing not only text, but also images, videos, audio, and code. According to Google, Gemini Pro has surpassed OpenAI’s GPT-3.5, but it is unclear how it stacks up against GPT-4. Gemini allegedly possesses advanced reasoning capabilities across multiple modes and is more efficient and scalable than previous models from Google when used on their custom Tensor Processing Units (TPU). In contrast to other AI models, such as GPT-4, which require plugins and integrations, Gemini’s native multimodal property sets it apart.