{"id":16424,"date":"2023-12-07T02:58:08","date_gmt":"2023-12-06T23:58:08","guid":{"rendered":"https:\/\/globalit.com.tr\/google-cloud-ai-data-december-2023-updates\/"},"modified":"2025-01-08T13:46:23","modified_gmt":"2025-01-08T10:46:23","slug":"google-cloud-ai-data-december-2023-updates","status":"publish","type":"post","link":"https:\/\/globalit.com.tr\/en\/google-cloud-ai-data-december-2023-updates\/","title":{"rendered":"Google Cloud AI & Data December 2023 Updates"},"content":{"rendered":"\n
Vertex AI Search adds new productive AI capabilities and enterprise-ready features to meet one-stop search needs<\/strong>.<\/p>\n\n With Vertex AI Search, Google Cloud’s out-of-the-box search solution, you can solve your need for a search application on your enterprise data in just a few days or even a few hours.<\/p>\n\n The tunable Retrieval Augmented Generation (RAG) system provided by Vertex AI Search will lead you to information with the ability to add custom embeddings and harness the power of large language models.<\/p>\n\n Custom search to suit business requirements<\/strong><\/p>\n\n Customizable answers:<\/strong> With customizable answers, which are currently in preview, you can control how the results are generated and have the answers returned in different formats such as “Short”, “Detailed”, “Casual” or “Formal”.<\/p>\n\n Search tuning:<\/strong> A preview of which document will come first in enterprise document search will be available later this month. With a training set of 50 – 100 questions\/answers, you can enable Vertex AI Search to provide a more precise ranking and better answers. <\/p>\n\n DIY <\/strong>search engines<\/strong> with Vector Search and Vertex AI Placement <\/strong>:<\/strong> If you have more complex and customized use cases, you can use Vector Search and Vertex AI Placement to create your own search, recommendation and other productive AI applications.<\/p>\n\n Linking results to data: new options for accurate results<\/strong><\/p>\n\n The possibility of hallucinating productive AI is a concern for many businesses. To counter this, Vertex AI Search offers several options for grounding results in data. <\/p>\n\n Original article<\/a><\/p>\n\n Looker Studio Pro is now available on Android and iOS<\/strong><\/p>\n\n You have an idea in the middle of your coffee break and you want to back it up by reviewing your reports created in Looker Studio Pro. No need to go all the way to your desk, you can access your reports conveniently from your mobile phone using the mobile-friendly Looker Studio app. <\/p>\n\n The Looker Studio app, which you can download from Google Play<\/a> and the App Store<\/a>, will provide you with enhanced ease of use and improved reading comfort.<\/p>\n\n Original article<\/a><\/p>\n\n Google Cloud demonstrates the power of TPU infrastructure by showcasing the world’s largest distributed learning job for large language models<\/strong><\/p>\n\n Along with generative AI, the underlying large language models have grown very rapidly, with billions of parameters and trillions of training particles. Along with this has come the increased use of AI acceleration chips, which underlie the supercomputing power required to train such large language models, often distributed across large clusters. Managing such large-scale distributed machine learning has brought many common and important technical challenges. <\/p>\n\n In response to these challenges, Google Cloud has made “Cloud TPU Multisectional Training” available to everyone.<\/p>\n\n<\/figure>\n\n
\n
If you want to get more detailed information, you can contact us.
<\/li>\n\n\n\n\n
<\/figure>\n\n