Engineers have developed a new soft, flexible device that makes robots move by expanding and contracting — just like a human muscle. To demonstrate their new device, called an actuator, the researchers used it to create a cylindrical, worm-like soft robot and an artificial bicep. In experiments, the cylindrical soft robot navigated the tight, hairpin …
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We propose utilizing n-best reranking to enhance Sequence-Level Knowledge Distillation (Kim and Rush, 2016) where we extract pseudo-labels for student model’s training data from top n-best hypotheses and leverage a diverse set of models with different inductive biases, objective functions or architectures, including some publicly-available large language models, to pick the highest-quality hypotheses as labels. …
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Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows. However, it’s …
Developers are at the heart of API delivery, and they need tools that make the process faster and easier. Apigee is a powerful API management platform that helps enterprises build, manage, monetize and scale APIs with tools that help developers simplify and speed up API development. Apigee is accessible in the Google Cloud console, as …
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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 …
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 …
Imagine a factory not just humming with machinery, but pulsing with intelligence. This is the future promised by AI, which is rapidly transforming the landscape of production. At the heart of this change lies machine learning, an artificial intelligence subset that influences process optimization without explicit programming. Fueled by vast datasets collected from sensors and …
Read more “Key Reasons to Integrate Machine Learning in Manufacturing: From Factory Floor to Future”