Google has just launched Gemini 1.5, a significant upgrade to its AI model Gemini, which boasts impressive improvements in performance, efficiency, and context understanding. This next-generation model is built on a new version of the Mixture-of-Experts (MoE) architecture, allowing it to learn and selectively activate the most relevant pathways in its neural network.
Gemini 1.5 Pro, the first model released for early testing, achieves comparable quality to Gemini 1.0 Ultra, Google's most advanced large language model, while using less compute. This breakthrough enables entirely new capabilities, such as processing up to 1 million tokens consistently, achieving the longest context window of any large-scale foundation model yet.
The new architecture of Gemini 1.5 allows for more efficient use of computing resources, making it possible to deploy the model in a wider range of applications. Additionally, Gemini 1.5 has multimodal capabilities, enabling it to understand and generate text, code, audio, image, and video.
The launch of Gemini 1.5 marks a significant milestone in Google's AI research and development efforts. The company is committed to advancing the state-of-the-art in AI and making its models available to developers and researchers to build innovative applications.
