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Palantir’s Response to the White House Office of Science and Technology Policy (OSTP) on Developing an AI Action Plan The United States must act decisively to maintain its AI leadership position At Palantir, we see our work as a duty and privilege: to support the United States of America, its core national interests, and the civilization …
Read more “Palantir’s Response to White House OSTP on Developing AI Action Plan”
Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information they were trained on, which becomes …
Generative AI is poised to revolutionize the gaming landscape. It will offer — and in many cases, already is offering — personalized NPCs, dynamic narratives, and tailored environments, thereby reshaping player experiences. It’s a concept increasingly known as living games. The recent unveiling of Genie 2: a large scale foundation world model created by Google …
Read more “Enhancing multiplayer games with gen AI and cloud gaming: a technical deep dive”
Computer use is a breakthrough capability from Anthropic that allows foundation models (FMs) to visually perceive and interpret digital interfaces. This capability enables Anthropic’s Claude models to identify what’s on a screen, understand the context of UI elements, and recognize actions that should be performed such as clicking buttons, typing text, scrolling, and navigating between …
Read more “Getting started with computer use in Amazon Bedrock Agents”
Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of unlabeled speech data and then used for a range of downstream tasks. These models use a masked prediction objective, where the model learns to predict information about masked input segments from the unmasked context. The choice of prediction targets in …
Read more “Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models”
This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular. However, inference of LLMs as single model invocations or …
At Definity, a leading Canadian P&C insurer with a history spanning over 150 years, we have a long tradition of innovating to help our customers and communities adapt and thrive. To stay ahead in our rapidly evolving industry, we knew a unified data foundation was key to realizing the business and customer experience opportunities offered …
Read more “10 months to innovation: Definity’s leap to data agility with BigQuery and Vertex AI”
Introducing Gemini Robotics and Gemini Robotics-ER, AI models designed for robots to understand, act and react to the physical world.
Compelling AI-generated images start with well-crafted prompts. In this follow-up to our Amazon Nova Canvas Prompt Engineering Guide, we showcase a curated gallery of visuals generated by Nova Canvas—categorized by real-world use cases—from marketing and product visualization to concept art and design exploration. Each image is paired with the prompt and parameters that generated it, …
Read more “Exploring creative possibilities: A visual guide to Amazon Nova Canvas”
Today, we’re sharing the new Gemma 3 model is available on Vertex AI Model Garden, giving you immediate access for fine-tuning and deployment. You can quickly adapt Gemma 3 to your use case using Vertex AI’s pre-built containers and deployment tools. In this post, you’ll learn how to fine-tune Gemma 3 on Vertex AI and …