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 …
Read more “Why We Serve: Palantirians Reflect on Duty, Honor & Innovation”
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. …
Read more “How to build a simple multi-agentic system using Google’s ADK”
Sakana AI’s new inference-time scaling technique uses Monte-Carlo Tree Search to orchestrate multiple LLMs to collaborate on complex tasks.Read More
Newly disclosed records show Attorney General Pam Bondi gave cover to not only Apple and Google, but also several other companies that help TikTok operate in the US.
A multinational team has cracked a long-standing barrier to reliable quantum computing by inventing an algorithm that lets ordinary computers faithfully mimic a fault-tolerant quantum circuit built on the notoriously tricky GKP bosonic code, promising a crucial test-bed for future quantum hardware.
As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring to $4.8 trillion by 2033—the technology seems equipped to handle any task. Driving cars. Analyzing medical images. Making music. Having a conversation.
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Retrieval-augmented generation (RAG) has shaken up the world of language models by combining the best of two worlds:
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: …