Google Gemini is developed using large-scale datasets that include text, images, and other types of data. The training process involves:
- Massive Data Integration: Combining diverse datasets to train the model across modalities.
- Advanced Algorithms: Utilizing state-of-the-art machine learning techniques, including deep learning and reinforcement learning.
- Computational Resources: Leveraging Google’s extensive computational infrastructure for training.
