Deep learning is a subset of machine learning that has become a cornerstone in many technological breakthroughs. At the core of deep learning, it’s a model inspired by the human brain, which we call a neural network. Contrary to the traditional machine learning model, deep learning can automatically find feature representations from data. That’s why …
In a world filled with misinformation and oddball theories, it’s inevitable to come across individuals who hold beliefs that defy basic logic and established facts. One such example is actor Terrence Howard, who famously claimed that 1 x 1 = 2. As baffling as this assertion might be, it presents an opportunity to explore how …
Reducing Hallucinations with the Ontology in Palantir AIP (Engineering Responsible AI , #1) Over the past two decades, Palantir has promoted the responsible use of technology through our principles, public positions, and products. This is nowhere more important than in our current work partnering with organizations to leverage the power of AI through Palantir AIP. From ensuring …
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As generative artificial intelligence (AI) inference becomes increasingly critical for businesses, customers are seeking ways to scale their generative AI operations or integrate generative AI models into existing workflows. Model optimization has emerged as a crucial step, allowing organizations to balance cost-effectiveness and responsiveness, improving productivity. However, price-performance requirements vary widely across use cases. For …
A study by Dataiku and Cognizant shows that enterprises are pouring hefty sums into generative AI initiatives, but they face major hurdles.Read More
Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next-generation sensors and computer devices.
Chatbots powered by artificial intelligence (AI) can pass a cybersecurity exam, but don’t rely on them for complete protection.
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We introduce MIA-Bench, a new benchmark designed to evaluate multimodal large language models (MLLMs) on their ability to strictly adhere to complex instructions. Our benchmark comprises a diverse set of 400 image-prompt pairs, each crafted to challenge the models’ compliance with layered instructions in generating accurate responses that satisfy specific requested patterns. Evaluation results from …
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This blog post is co-written with Qaish Kanchwala from The Weather Company. As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. MLOps practitioners have many options to establish an MLOps platform; one among them …