Antwoorden op veelgestelde vragen over Palantir Noot van de redactie: Dit bericht beantwoordt veelgestelde vragen over Palantir. Een eerdere versie werd gepubliceerd in 2022. We krijgen veel uiteenlopende vragen over Palantir. Omdat er recent ook veel interesse is getoond in ons bedrijf, hebben we de meest gestelde vragen verzameld en beantwoord in deze blog. Lees hier hoe …
Conditional diffusion models appear capable of compositional generalization, i.e., generating convincing samples for out-of-distribution combinations of conditioners, but the mechanisms underlying this ability remain unclear. To make this concrete, we study length generalization, the ability to generate images with more objects than seen during training. In a controlled CLEVR setting (Johnson et al., 2017), we …
Read more “Local Mechanisms of Compositional Generalization in Conditional Diffusion”
This post was written with Dominic Catalano from Anyscale. Organizations building and deploying large-scale AI models often face critical infrastructure challenges that can directly impact their bottom line: unstable training clusters that fail mid-job, inefficient resource utilization driving up costs, and complex distributed computing frameworks requiring specialized expertise. These factors can lead to unused GPU …
Read more “Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing”
AI is presenting a once-in-a-generation opportunity to transform how you work, how you run your business, and what you build for your customers. But the first wave of AI, while promising, has been stuck in silos, unable to orchestrate complex work across an entire organization. True transformation requires a comprehensive platform that connects to your …
Available in preview via the API, our Computer Use model is a specialized model built on Gemini 2.5 Pro’s capabilities to power agents that can interact with user interfaces.
Video Joint Embedding Predictive Architectures (V-JEPA) learn generalizable off-the-shelf video representation by predicting masked regions in latent space with an exponential moving average (EMA)-updated teacher. While EMA prevents representation collapse, it complicates scalable model selection and couples teacher and student architectures. We revisit masked-latent prediction and show that a frozen teacher suffices. Concretely, we (i) …
Read more “Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers”
This post was co-written with Cyril Ovely from Vxceed. Consumer packaged goods (CPG) companies face a critical challenge in emerging economies: how to effectively retain revenue and grow customer loyalty at scale. Although these companies invest 15–20% of their revenue in trade promotions and retailer loyalty programs, the uptake of these programs has historically remained …
Read more “Vxceed builds the perfect sales pitch for sales teams at scale using Amazon Bedrock”
Startups are using agentic AI to automate complex workflows, create novel user experiences, and solve business problems that were once considered technically impossible. Still, charting the optimal path forward — especially with the integration of AI agents — often presents significant technical complexity To help startups navigate this new landscape, we’re launching our Startup technical …
Read more “Want to get building production-ready AI agents? Here’s where startups should start.”
Large language models (LLM) in natural language processing (NLP) have demonstrated great potential for in-context learning (ICL) — the ability to leverage a few sets of example prompts to adapt to various tasks without having to explicitly update the model weights. ICL has recently been explored for computer vision tasks with promising early outcomes. These …
Read more “Stable Diffusion Models are Secretly Good at Visual In-Context Learning”
Amazon QuickSight data stories support global customers by transforming complex data into interactive narratives for faster decisions. However, manual creation of multiple daily data stories consumes significant time and resources, delaying critical decisions and preventing teams from focusing on valuable analysis. Each organization has multiple business units, and each business unit creates and operates multiple …
Read more “Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act”