In honor of Independence Day, Palantir Veterans and Intelligence Community (IC) alums offer reflections on their prior service and what it means to continue to serve the mission at Palantir. In their own words, they share how the values forged in service to the nation — duty, honor, and a commitment to mission — shape the work they do …
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In the telecommunications industry, managing complex network infrastructures requires processing vast amounts of data from multiple sources. Network engineers often spend considerable time manually gathering and analyzing this data, taking away valuable hours that could be spent on strategic initiatives. This challenge led Swisscom, Switzerland’s leading telecommunications provider, to explore how AI can transform their …
Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together. Monolithic agents often crumble under their own weight because of instruction overload, inaccurate outputs, and brittle systems that are impossible to scale. …
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Recent works have shown a surprising result: a small fraction of Large Language Model (LLM) parameter outliers are disproportionately important to the quality of the model. LLMs contain billions of parameters, so these small fractions, such as 0.01%, translate to hundreds of thousands of parameters. In this work, we present an even more surprising finding: …
By Vipul Marlecha, Lara Deek, Thiara Ortiz The mission of Open Connect, our dedicated content delivery network (CDN), is to deliver the best quality of experience (QoE) to our members. By localizing our Open Connect Appliances (OCAs), we bring Netflix content closer to the end user. This is achieved through close partnerships with internet service providers …
Read more “Driving Content Delivery Efficiency Through Classifying Cache Misses”
Generative AI has revolutionized customer interactions across industries by offering personalized, intuitive experiences powered by unprecedented access to information. This transformation is further enhanced by Retrieval Augmented Generation (RAG), a technique that allows large language models (LLMs) to reference external knowledge sources beyond their training data. RAG has gained popularity for its ability to improve …
The evolution of AI agents has led to powerful, specialized models capable of complex tasks. The Google Agent Development Kit (ADK) – a toolkit designed to simplify the construction and management of language model-based applications – makes it easy for developers to build agents, usually equipped with tools via the Model Context Protocol (MCP) for …
Read more “A guide to converting ADK agents with MCP to the A2A framework”
Organizations face the challenge to manage data, multiple artificial intelligence and machine learning (AI/ML) tools, and workflows across different environments, impacting productivity and governance. A unified development environment consolidates data processing, model development, and AI application deployment into a single system. This integration streamlines workflows, enhances collaboration, and accelerates AI solution development from concept to …
Palantir’s Advice for the White House OSTP’s AI R&D Plan Editor’s Note: This blog post highlights Palantir’s response to a Request for Information regarding the redrafting of the National AI R&D Plan. For more information on Palantir’s contributions to AI policy, visit our website here. Improving the Nation’s AI R&D Plan As the AI race evolves, so too …
Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution of generative AI applications, many use …