All of these models are trained to be “natively multimodal,” in other words, able to process and use more than just text. They are pre-trained and fine-tuned on a variety of audio, images and videos, a large number of code sets, and text in different languages.
This sets Gemini apart from models like Google’s own LaMDA, which are trained only on text data. LaMDA can’t understand or generate anything other than text e., essays, email drafts, but that’s not the case with the Gemini model.
It uses Google DeepMind and positions itself as the successor switzerland mobile database to famous predecessors such as LaMDA and PaLM 2. This shows that its language processing capabilities have reached a high level.
Using Google DeepMind, creators can expect advanced language understanding capabilities to produce more natural and contextual content.
Gemini Pricing
Gemini AI charges a competitive $20 per month, a price that strikes a balance between affordability and access to advanced AI capabilities, especially coding and language processing.
Content creators can use advanced AI features at reasonable prices, which is very beneficial for people with limited budgets.
The main function of Gemini
Let’s take a look at the main functions of Gemini.
Chat Interface : It interacts through a user-friendly chat interface, allowing you to ask questions, give instructions or provide prompts in a natural conversation flow.