![]() ![]() We’ve been able to significantly increase this - running up to 1 million tokens consistently, achieving the longest context window of any large-scale foundation model. ![]() It’s available in 38 languages across 180+ countries and territories.ġ,000,000 tokens: Unlocking new use cases for developersīefore today, the largest context window in the world for a publicly available large language model was 200,000 tokens. Google AI Studio is the fastest way to build with Gemini models and enables developers to easily integrate the Gemini API in their applications. It routes your request to a group of smaller "expert” neural networks so responses are faster and higher quality.ĭevelopers can sign up for our Private Preview of Gemini 1.5 Pro, our mid-sized multimodal model optimized for scaling across a wide-range of tasks. The model features a new, experimental 1 million token context window, and will be available to try out in Google AI Studio. Today, we’re also excited to introduce our next-generation Gemini 1.5 model, which uses a new Mixture-of-Experts (MoE) approach to improve efficiency. The 1.0 Ultra model, accessible via the Gemini API, has seen a lot of interest and continues to roll out to select developers and partners in Google AI Studio. You can try it out now by signing up for a Gemini Advanced subscription. Last week, we released Gemini 1.0 Ultra in Gemini Advanced. Posted by Jaclyn Konzelmann and Wiktor Gworek – Google Labs ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |