Google AI Chatbot Bard Adds Gmail and Other Google App Plugins


Google Bard announced a global update today, expanding the Gemini Pro large language model capabilities to 40 languages and adding an image generation feature. This update is a significant step in Bard's development, making it easier to use and more competitive. Gemini Pro is Google's most advanced LLM to date. Bard ranks second in the Chatbots Arena leaderboard.
Google has released the Gemini Pro large language model, making Bard smarter. Gemini Pro surpasses GPT-3.5, and users can experience Bard powered by Gemini Pro for free. Google plans to launch Bard Advanced, which will support multimodal input.
Google Bard has launched an exciting new feature that allows users to have in-depth conversations with YouTube videos. Users can ask questions, prompting Bard to answer, summarize, or list key information. Bard can also provide practical examples based on the video content, helping users to understand more deeply. Additionally, users can save Bard's responses directly to Google Docs with one click. This new feature offers a completely new experience in how we interact with videos.
Google recently launched extensions connecting its AI chatbot Bard with products like Gmail and Docs. These extensions can assist users in finding the information they need among a large volume of unread emails and documents. However, Bard extensions struggle with understanding the semantic context, often misinterpreting user queries' intentions. Currently, the extensions are still quite clunky and need further improvement to become truly reliable work assistants. Users should be cautious about the risks to their privacy from Bard accessing personal information.
The robotics research team at Google DeepMind recently released a robotics project called RT-2. This project took 7 months to develop and uses a large model for training. RT-2 has capabilities such as symbol understanding, reasoning, and human recognition, and can think and complete tasks based on human instructions. By combining the large model with the robot's operational capabilities, RT-2 can accomplish tasks that involve logical leaps, such as from 'extinct animals' to 'plastic dinosaurs'. The results of this project performed well in various sub - category tests, with performance up to three times that of the previous generation of robot models. This research result demonstrates the potential of large models in robotics research and is expected to drive the development of robots in the future.