Google's CEO Sundar Pichai recently announced the dawn of a new era in artificial intelligence (AI) at Google – the Gemini era. Gemini represents Google's latest and most powerful large language model (LLM), promising to bring transformative changes to the world of robotics. This blog explores the profound impact of Gemini on robotics and how this advanced AI model is set to reshape the future of Google's products.
Gemini isn't just a singular AI model; it comes in different sizes, each tailored for specific purposes. There's Gemini Nano, a lighter version designed to run natively and offline on Android devices. Gemini Pro, a more robust version, powers Google AI services and serves as the backbone of Bard. The pinnacle of Gemini's capabilities is represented by Gemini Ultra, designed for data centers and enterprise applications.
Google is strategically integrating Gemini into its ecosystem, with Bard already powered by Gemini Pro and Pixel 8 Pro users enjoying new features thanks to Gemini Nano. Developers and enterprise customers can access Gemini Pro through Google Generative AI Studio or Vertex AI in Google Cloud. Pichai envisions a future where Gemini becomes an integral part of Google's search engine, ad products, Chrome browser, and more, on a global scale.
In a direct challenge to OpenAI's GPT-4, Google's Gemini undergoes a thorough benchmarking analysis, and according to Google DeepMind CEO Demis Hassabis, Gemini outperforms GPT-4 in 30 out of 32 benchmarks. Gemini's advantage lies in its ability to understand and interact with video and audio, showcasing a deliberate focus on multimodality from the beginning.
Google sees coding as a key application for Gemini, introducing a new code-generating system called AlphaCode 2. This system reportedly outperforms 85 percent of coding competition participants, a significant improvement from its predecessor. Pichai assures users that Gemini's impact will be noticeable across a wide range of applications.
Gemini is not only powerful but also more efficient, trained on Google's Tensor Processing Units (TPUs). The model promises faster and cheaper operation compared to previous Google models like PaLM. Alongside Gemini, Google is launching the TPU v5p, a new version of its TPU system designed for large-scale model training in data centers.
Despite Gemini's prowess, Google emphasizes a cautious approach as we approach Artificial General Intelligence (AGI). Both Pichai and Hassabis express the importance of safety, responsibility, and a commitment to cautious progress, especially in the quest for AGI, which holds the potential to be more transformative than any previous technological advancements.
Gemini marks a pivotal moment for Google, a culmination of years of AI development. As the company that has long declared itself "AI-first," Google aims to assert its position and impact the industry with Gemini. While the benchmarks suggest superiority, the true test lies in everyday user experiences. Gemini's journey is not just about catching up but setting the stage for the future, where AI becomes more aware, accurate, and seamlessly integrated into our lives. The Gemini era has begun, and Google is navigating this transformative path with a blend of caution and optimism.
このクールな見た目のロボットは単なるおもちゃではなく、家庭監視用のロボットカメラとしても機能します。お聞きのとおり、Moorebot Scout はあなたの家の周りを動き回り、あなたが外出している間も監視します。