Gemini employs several optimization techniques to enhance training stability and efficiency. It incorporates the Lion optimizer and Low Precision Layer Normalization, which contribute to improved stability during training. Additionally, Gemini’s focus on multimodal tasks allows it to achieve state-of-the-art performance on benchmarks like MMMU, showcasing its efficiency and stability compared to other multimodal LLMs.
