Explore Google's Gemini, a powerful generative AI family. Discover its multimodal capabilities, diverse models (Pro, Flash, Nano, and the elusive Ultra), and applications across Google's ecosystem. Learn about Gemini Advanced, extensions, and its potential impact, including ethical considerations. Understand the difference between Gemini models and apps, and explore pricing details.
Google launches Gemini Code Assist, a free AI-powered coding companion for developers. Built on Gemini 2.0, it offers code completion, explanation, unit test generation, and GitHub integration. It supports VS Code, JetBrains IDEs, and more. Standard and Enterprise editions are available for power users. It's a powerful tool to improve developer productivity.
A conversation with Jeff Dean and Noam Shazeer on the evolution of AI, from MapReduce to Transformers and MoE architectures, the future of AI compute, and the role of bugs in groundbreaking discoveries.
Google's Gemini AI is poised to revolutionize the smartphone landscape, integrating as the default voice assistant in the Samsung Galaxy S25 and other devices. This next-generation AI promises a more intuitive and seamless user experience, moving beyond the limitations of current voice assistants.
Google's Gemini is emerging as a leader in the virtual assistant race, surpassing competitors like ChatGPT and Claude. Samsung's adoption of Gemini as the default assistant on its phones, coupled with Google's vast ecosystem integration, positions Gemini for widespread adoption and rapid improvement. Its superior platform integration and accessibility give it a significant edge over rivals like Alexa and Siri.
This research explores the effectiveness of scaling inference time in diffusion models. It introduces a framework that uses verifiers and algorithms to optimize sampling noise, leading to higher quality generated samples. The study examines various verifier-algorithm combinations and their compatibility with fine-tuned models, demonstrating that inference-time scaling can be very efficient, even on smaller models.
