3/15/2024 0 Comments Studio one 5 free downloadGemini 1.5 Pro maintains high levels of performance even as its context window increases. And when compared to 1.0 Ultra on the same benchmarks, it performs at a broadly similar level. When tested on a comprehensive panel of text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing our large language models (LLMs). For example, when given the 402-page transcripts from Apollo 11’s mission to the moon, it can reason about conversations, events and details found across the document. Complex reasoning about vast amounts of informationġ.5 Pro can seamlessly analyze, classify and summarize large amounts of content within a given prompt. In our research, we’ve also successfully tested up to 10 million tokens. This means 1.5 Pro can process vast amounts of information in one go - including 1 hour of video, 11 hours of audio, codebases with over 30,000 lines of code or over 700,000 words. We can now run up to 1 million tokens in production. Through a series of machine learning innovations, we’ve increased 1.5 Pro’s context window capacity far beyond the original 32,000 tokens for Gemini 1.0. The bigger a model’s context window, the more information it can take in and process in a given prompt - making its output more consistent, relevant and useful. Tokens can be entire parts or subsections of words, images, videos, audio or code. Greater context, more helpful capabilitiesĪn AI model’s “context window” is made up of tokens, which are the building blocks used for processing information. These continued advances in our next-generation models will open up new possibilities for people, developers and enterprises to create, discover and build using AI. We’re excited for people to try this breakthrough capability, and we share more details on future availability below. But starting today, a limited group of developers and enterprise customers can try it with a context window of up to 1 million tokens via AI Studio and Vertex AI in private preview.Īs we roll out the full 1 million token context window, we’re actively working on optimizations to improve latency, reduce computational requirements and enhance the user experience. Gemini 1.5 Pro comes with a standard 128,000 token context window. It also introduces a breakthrough experimental feature in long-context understanding. It’s a mid-size multimodal model, optimized for scaling across a wide-range of tasks, and performs at a similar level to 1.0 Ultra, our largest model to date. The first Gemini 1.5 model we’re releasing for early testing is Gemini 1.5 Pro. This includes making Gemini 1.5 more efficient to train and serve, with a new Mixture-of-Experts (MoE) architecture. It represents a step change in our approach, building upon research and engineering innovations across nearly every part of our foundation model development and infrastructure. Gemini 1.5 delivers dramatically enhanced performance. Today, we’re announcing our next-generation model: Gemini 1.5. Since introducing Gemini 1.0, we’ve been testing, refining and enhancing its capabilities. New advances in the field have the potential to make AI more helpful for billions of people over the coming years. Demis shares more on capabilities, safety and availability below.īy Demis Hassabis, CEO of Google DeepMind, on behalf of the Gemini team We’re excited to offer a limited preview of this experimental feature to developers and enterprise customers. They will enable entirely new capabilities and help developers build much more useful models and applications. Longer context windows show us the promise of what is possible. We’ve been able to significantly increase the amount of information our models can process - running up to 1 million tokens consistently, achieving the longest context window of any large-scale foundation model yet. This new generation also delivers a breakthrough in long-context understanding. It shows dramatic improvements across a number of dimensions and 1.5 Pro achieves comparable quality to 1.0 Ultra, while using less compute. In fact, we’re ready to introduce the next generation: Gemini 1.5. Our teams continue pushing the frontiers of our latest models with safety at the core. Today, developers and Cloud customers can begin building with 1.0 Ultra too - with our Gemini API in AI Studio and in Vertex AI. Last week, we rolled out our most capable model, Gemini 1.0 Ultra, and took a significant step forward in making Google products more helpful, starting with Gemini Advanced. A note from Google and Alphabet CEO Sundar Pichai:
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