Google has significantly enhanced the training data for Gemini, expanding beyond textual data to incorporate multimodal datasetsDatasets that contain different modes of data, such as, textual, audio, and, visual.. This includes:
Larger datasets from web crawling, including books, scientific research papers, technical documents, code repositories, and multimedia content from various platforms.
In short, it’s simply an upgrade to their usage of Bard. While the interface has changed to reflect Bard’s new identity as Gemini, it does not lose functionality in any way. Gemini is only replacing the LaMDA model that powered Bard. To avoid confusion, the name of the service itself has also been shifted to Gemini. Similar to how ChatGPT is only a front-end for using the GPT-3, GPT-3.5, and GPT-4 models, Gemini will be a service for utilizing the Gemini Nano, Gemini Pro, and Gemini Ultra models provided by Google.
How can we use Google Gemini?
Gemini can be accessed the same way Bard was accessed. Existing links pointing to Bard will now redirect to Gemini, so users who were already using Gemini can continue to use the service as they were, and searching for Bard on Google will bring up the new linksgemini.google.com to Gemini by default. Currently, only Gemini Pro is available to the general public. This balanced model aims to compete with GPT-3.5, and is free for all users of Gemini. Bard featured no options for switching models, but Gemini will feature an option to switch between models in the future.