Gemini 2.0 is Google's new AI model that enhances multimodal capabilities and tool use for developers and users. It builds on Gemini 1.0, offering features like native image and audio output and advanced reasoning for complex tasks. Projects Astra and Mariner explore AI's role in assisting users. Google emphasizes safety and responsibility in AI development, aiming to create reliable agents while addressing risks and ensuring user control.
Gemini models and generative AI are transforming retail by personalizing shopper experiences, automating customer service, enhancing marketing, improving operations, and identifying trends. Retailers like Victoria’s Secret, Best Buy, Estée Lauder, Woolworths, and Wayfair use Gemini to analyze data, automate interactions, generate content, optimize supply chains, and speed up development. These advancements help retailers meet customer needs, streamline operations, and innovate.
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Google's Gemini chatbot now has a memory feature that can remember personal information, preferences, and work details to provide context in conversations, similar to ChatGPT. This feature is available only to subscribers of the $20-per-month Google One AI Premium plan and is currently limited to the web client. Users can manage and delete memories, which are not used for model training. However, there are concerns about potential exploitation.
Google has launched an experimental AI tool called Learn About, built on the LearnLM AI model, designed for educational purposes. Unlike chatbots like Gemini and ChatGPT, it provides answers with visual and interactive elements. When asked “How big is the universe?” both responded similarly, but Learn About emphasized educational content and interactive elements. It includes textbook-style boxes for additional context and vocabulary building.
Google has launched a dedicated app for its AI assistant, Gemini, on iOS globally. Previously, iOS users had to use the Google app or mobile web to access Gemini. The new app allows iPhone users to have natural conversations with Gemini Live, personalize its voice, and use it in over 10 languages. It also offers features to improve learning, creativity, and productivity, such as tailored study plans, quizzes, and high-quality image generation.
Google's Gemini AI platform now includes Imagen 3, an advanced text-to-image generation model, available globally. This update enhances photorealism, instruction following, reduces artifacts, and improves text rendering. Users can access it directly through Gemini without extra setup. The global rollout democratizes AI technology, offering diverse applications in fields like design and education, making high-quality AI image generation accessible.
Google is integrating the Gemini chatbot into Google Workspace, enhancing access to its AI capabilities across Gmail, Docs, and Drive. Users save an average of 105 minutes weekly, with 75% reporting improved work quality. The integration includes enterprise-grade data protections and compliance with privacy standards like SOC 1/2/3 and ISO 27001. A new security advisor tool will also help businesses enhance their security posture.
Looker Studio has launched Conversational Analytics powered by Google's Gemini AI in Public Preview. Features include natural language querying, AI insights, seamless data exploration, enhanced visualization, and integration with data sources like BigQuery and Google Sheets. Requires Looker Studio Pro license and admin enablement. Enhancements include conversation management, suggested questions, and editable responses. Aims to democratize data analysis.
Gemini (gemini.google.com) now includes links to related content in its responses to fact-seeking prompts, allowing users to explore topics further by clicking arrow chips. For those with a Gemini for Workspace license and enabled Google Workspace extensions, inline links to relevant emails will be included. The feature is limited to English prompts and available in most countries where Gemini is accessible. Full rollout starts September 4, 2024.
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