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.
Meta Intelligence OS is a startup founded by Bloomberg. It has developed a series of large models based on the open-source model RWKV and aims to become the Android in the era of large models. The RWKV model has superior performance and low cost in inference tasks, thus attracting customers from industries such as finance, law firms, and smart hardware. The business model of Meta Intelligence OS is model customization based on private data and internal AI Agent development. The company hopes to solve the problems of API call latency and data security by deploying large models on terminal devices. Currently, RWKV versions are available on Windows, Mac, and Linux computers, and Android and iOS versions are also in development. Meta Intelligence OS is raising funds and collaborating with chip companies and computing power platforms to create benchmark customers. Luo Xuan said that the decisive battlefield for large models is on hardware, and both terminal devices and the cloud require dedicated chips.