Google introduces a new experimental text embedding model, Gemini Embedding, to its Gemini developer API. Trained on the Gemini model, it offers superior performance in various domains, larger input capacity, and expanded language support, promising significant advancements in natural language processing applications, currently in experimental phase with a stable release planned.
A developer's journey into generative AI's ethical dilemmas, from biased outputs and copyright concerns to privacy risks. Explores mitigation strategies, the role of regulation, and the imperative of shaping AI's trajectory for responsible innovation, focusing on real-world examples and solutions in the evolving landscape of tools like ChatGPT, DALL-E, and Gemini.
Google is experimenting with 'AI Mode,' powered by Gemini, transforming search into a fully AI-driven experience. It's a personalized chatbot that anticipates follow-up questions, offering in-depth answers. This evolution from AI Overviews could redefine how we interact with search, raising questions about SEO, bias, and the future of online information.
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Researchers have introduced Tradutor, an open-source AI translator designed for European Portuguese. It addresses the underrepresentation of this language variety in machine translation. Using a new parallel corpus, PTradutor, and fine-tuning techniques on LLMs like Gemma and LLaMA-3, Tradutor achieves performance comparable to commercial models, promoting linguistic inclusivity in AI.
MWC 2024 showcased Android's AI advancements, focusing on Gemini Live and Circle to Search. Gemini Live offers multilingual assistance and interactive learning, while Circle to Search simplifies translation and information retrieval. Partner devices highlighted the seamless integration of AI into hardware, promising a future where AI is integral to the Android experience.
Google upgrades Gemini, granting enhanced memory to all users, remembering preferences and details for personalized interactions. Gemini Live, for Advanced subscribers, gains 'seeing' capabilities, analyzing screen content or live video feeds, enabling visual question answering and contextual understanding, revolutionizing AI interaction by bridging the digital and physical realms for enhanced assistance.
Google's Gemini AI now allows users to ask questions using real-time video and screen sharing. 'Screenshare' lets users share their phone screen for contextual queries, while video search enables questions about live video content. These features offer a more intuitive and dynamic way to interact with information, enhancing accessibility and learning.
Google Sheets integrates Gemini AI, transforming data analysis and visualization. Users can now leverage natural language prompts for instant insights, automated chart generation, and deeper data understanding. This moves beyond simple spreadsheets, offering powerful analytical capabilities previously found only in dedicated data analysis tools, making data science accessible to everyone.
Explore the key differences between Google's Gemini and Google Assistant. Discover their strengths in task execution, conversation, creativity, and overall 'smartness'. Learn which AI excels in various scenarios and what the future holds for these powerful tools, and how they are shaping the evolution of artificial intelligence.
