Category: FAANG

Posted by Zheng Xu, Research Scientist, and Yanxiang Zhang, Software Engineer, Google Language models (LMs) trained to predict the next word given input text are the key technology for many applications [1, 2]. In Gboard, LMs are used to improve users’ typing experience by supporting features like next word prediction (NWP), Smart Compose, smart completion …

Read more “Advances in private training for production on-device language models”

Introduction Everyone is excited about generative AI (gen AI) nowadays and rightfully so. You might be generating text with PaLM 2 or Gemini Pro, generating images with ImageGen 2, translating code from language to another with Codey, or describing images and videos with Gemini Pro Vision.  No matter how you’re using gen AI, at the …

Read more “Orchestrate Vertex AI’s PaLM and Gemini APIs with Workflows”

Introduction As part of the process laid out in the Biden-Harris Administration’s Executive Order on Safe, Secure, and Trustworthy AI, the National Institute of Standards and Technology (NIST) released a request for information to assist the agency in carrying out its obligations under the Executive Order. Palantir is proud to continue our ongoing contributions to …

Read more “Palantir’s Response to NIST RFI on Artificial Intelligence”

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization easier for the world’s best content creators. Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance. Typical …

Read more “Streamline diarization using AI as an assistive technology: ZOO Digital’s story”

The potential of video analytics and generative AI to revolutionize industries is immense. These technologies are opening new frontiers in automated insights, decision-making, and content generation. By marrying AI insight and audio data, organizations are realizing benefits across the span of business, from increased sales and revenue to enhanced customer experiences and reduced costs. Any …

Read more “Unlocking New Frontiers: The Synergy of of Audio Transcripts using Video Intelligence API and Generative AI”

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single endpoint. Previously, MMEs pre-determinedly allocated CPU computing power to models statically regardless the model traffic load, using Multi Model Server (MMS) as its model server. In this post, we discuss a …

Read more “Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints”