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Just circle an image, text, or video to search anything across your phone with Circle to Search* and learn more with AI-powered overviews. Make complex edits without pro-level editing skills, with Magic Editor. Enjoy a personalized, smarter messaging experience with Magic Compose. Explore Google AI on Android.
Develop with Gemini assistance. Supercharge your productivity in your development environment with Gemini, Google’s most capable AI model. Learn more.
PaLM 2 is our next generation language model with improved multilingual, reasoning and coding capabilities that builds on Google’s legacy of breakthrough research in machine learning and responsible AI.
2023年1月16日 · We believe that AI, including its core methods such as machine learning (ML), is a foundational and transformational technology. AI enables innovative new uses of tools, products, and services, and it is used by billions of people every day, as well as businesses, governments, and other organizations.
allows complex models to run in production by reducing their size and latency, while keeping most of the performance of larger, more computationally expensive models. It has been used to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
Seamlessly integrate the Gemini API into your apps with Google AI Studio or leverage enterprise-grade AI with Google Cloud Vertex AI.
Generative AI Overview. Explore how teams at Google are using Generative AI to create new experiences. Historically, AI was used to understand and recommend information. Now, generative AI can also help us create new content.
At Google, we think the impact of AI will be most powerful when everyone can use it.
With bold innovation that's responsibly developed, AI stands to be a powerful force for health equity, improving outcomes for everyone, everywhere. Explore how teams at Google are catalyzing the adoption of human-centered AI in healthcare.
Code generation. Image generation. Video generation. From natural image, audio, and video understanding to mathematical reasoning, performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic and multimodal benchmarks used in large language model research and development.
