cloud-run-gemini-chat/Application/CloudRun/Python-Flask/templates/gemini.html (43 lines of code) (raw):

<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1" /> <title>Gemini AI</title> <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous" /> </script> </head> <body> <main class="container"> {% include 'nav.html' %} <h1>Google Gemini</h1> <p> Google Gemini is a recently launched family of large language models (LLMs) created by Google DeepMind. It's considered their most capable AI model yet, designed to compete with OpenAI's GPT-4. </p> <p> Here's a breakdown of what Gemini offers: </p> <ul><li><strong>Multimodal:</strong> Unlike prior models, Gemini can understand and work with various data types, including text, code, audio, images, and video. This makes it highly versatile. </li> <li><strong>Family of models:</strong> Gemini comes in three versions: Gemini Nano, Pro, and Ultra. Each caters to different needs, with Ultra being the most powerful and Pro being the free, user-friendly option. </li> <li><strong>Applications:</strong> Gemini has various applications. Developers can use it to build AI-powered chatbots and apps. It's also integrated with Google services like Gmail and Maps, allowing you to get help with writing, planning, and learning. </li> <li><strong>Chatbot:</strong> You might also encounter Gemini as the name of Google's AI chatbot, which was formerly called Bard. </li></ul> <br> <p> Overall, Google Gemini is a significant development in AI, offering a powerful and versatile suite of tools for developers and users alike. </p> {% include 'footer.html' %} </main> <!-- Include Bootstrap's code and our own app.js --> <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js" crossorigin="anonymous" ></script> </body> </html>