{"id":81541,"date":"2023-03-18T12:39:46","date_gmt":"2023-03-18T04:39:46","guid":{"rendered":"https:\/\/www.megabites.com.ph\/?p=81541"},"modified":"2023-03-18T12:39:46","modified_gmt":"2023-03-18T04:39:46","slug":"google-unveils-generative-ai-capabilities-on-google-cloud-and-google-workspace","status":"publish","type":"post","link":"https:\/\/www.megabites.com.ph\/google-unveils-generative-ai-capabilities-on-google-cloud-and-google-workspace\/","title":{"rendered":"Google Unveils Generative AI Capabilities on Google Cloud and Google Workspace"},"content":{"rendered":"
[vc_row][vc_column][vc_column_text]Google introduced the next wave<\/a> of generative artificial intelligence (AI)<\/a> innovation across core areas of its business. Developers and businesses can now try new APIs and products that make it easy, safe, and scalable to start building with Google\u2019s best AI models through Google Cloud<\/a> and a new prototyping environment called MakerSuite. In Google Workspace<\/a>, the company is introducing new features that help users harness the power of generative AI to create, connect, and collaborate.<\/span><\/p>\n An approachable way to explore and prototype with generative AI applications<\/strong><\/span><\/p>\n For developers looking to build the next generation of applications with generative AI, Google is introducing the PaLM application programming interface (API)<\/a>, a new offering that makes it easy and safe to experiment with Google\u2019s best large language models. Today, Google is making an efficient model available, in terms of size and capabilities, and other sizes will be added soon.<\/span><\/p>\n The API also comes with an intuitive tool called MakerSuite<\/a>, which lets developers quickly prototype ideas and, over time, will have features for prompt engineering, synthetic data generation, and custom-model tuning \u2013 all supported by robust safety tools.<\/span><\/p>\n Select developers can access the PaLM API and MakerSuite in Private Preview today.<\/span><\/p>\n Bringing generative AI capabilities to Google Cloud<\/strong><\/span><\/p>\n Google is bringing new generative AI capabilities to its Google Cloud AI portfolio<\/a> to help developers and organizations access enterprise-level safety, security, privacy, as well as integrate with their existing Google Cloud solutions. This includes:<\/span><\/p>\n Across these, Google Cloud ensures organizations have complete control over if, how, and for what their data is used.<\/span><\/p>\n Starting today, trusted testers are accessing Generative AI support in Vertex AI and Generative AI App Builder. If you are interested in updates on early access opportunities, please join the Google Cloud Innovators<\/a> technical community.<\/span><\/p>\n Building the most open and innovative AI ecosystem<\/strong><\/span><\/p>\n In addition to announcing new AI innovations, Google Cloud is committed to being the most open cloud provider. Today, the company is bringing the best of Google\u2019s infrastructure, AI products, and foundation models to partners at every layer of the AI stack<\/a>. This includes chipmakers; companies building foundation models and AI platforms; technology partners enabling companies to develop and deploy ML models; app builders solving customer use cases with generative AI; and global services and consulting firms that help enterprise customers implement all of this technology at scale.<\/span><\/p>\n Google Cloud is launching Built with Google Cloud AI<\/a>, a new initiative that helps independent software vendor (ISV) partners get started with building applications using Google Cloud AI services. The initiative provides dedicated access to Google Cloud expertise, training, and co-marketing support to help partners build capacity and go to market.<\/span><\/p>\n To enable more AI-first startups, Google Cloud is also expanding the Google for Startups Cloud Program<\/a>, with exclusive benefits for AI startups (seed to series A). This includes:<\/span><\/p>\n Interested AI startups can now apply<\/a> to join the program.<\/span>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n\n
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