FastVLM: Efficient Vision encoding for Vision Language Models

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Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich image understanding tasks. However, popular visual encoders such as ViTs become inefficient at high resolutions due to the large number of tokens and high encoding latency. At different operational resolutions, the vision encoder of a VLM …

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Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

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AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information, and execute specific tasks effectively. The …

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Novel technique overcomes spurious correlations problem in AI

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AI models often rely on “spurious correlations,” making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem. The work has been published on the arXiv preprint server.

Disentangled Representational Learning with the Gromov-Monge Gap

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Learning disentangled representations from unlabelled data is a fundamental challenge in machine learning. Solving it may unlock other problems, such as generalization, interpretability, or fairness. Although remarkably challenging to solve in theory, disentanglement is often achieved in practice through prior matching. Furthermore, recent works have shown that prior matching approaches can be enhanced by leveraging …

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Palantir’s Blueprint for Early Career Success in Product Design

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Editor’s Note: Product Designers are key members of Palantir product teams. This blog post features a banner by Product Designer Sarah, a self-reflection by Product Designer Phoebe on navigating her early career, and a Q&A with design colleagues. Insights from Palantir Product Design Phoebe, Product Designer I’m still figuring out what kind of designer I want to …

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