Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

This paper was accepted at the Workshop on Reliable and Responsible Foundation Models (RRFMs) Workshop at ICML 2025. Uncertainty quantification plays a pivotal role when bringing large language models (LLMs) to end-users. Its primary goal is that an LLM should indicate when it is unsure about an answer it gives. While this has been revealed …

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AWS AI infrastructure with NVIDIA Blackwell: Two powerful compute solutions for the next frontier of AI

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Imagine a system that can explore multiple approaches to complex problems, drawing on its understanding of vast amounts of data, from scientific datasets to source code to business documents, and reasoning through the possibilities in real time. This lightning-fast reasoning isn’t waiting on the horizon. It’s happening today in our customers’ AI production environments. The …

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How to tap into natural language AI services using the Conversational Analytics API

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AI is making it easier than ever to get clear, reliable answers from your data. With intelligent tools like the Conversational Analytics API, powered by Gemini, you no longer need intricate systems to get insights. The Conversational Analytics API lets you use everyday language to ask questions of your data in BigQuery or Looker, with …

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Scientists discover the moment AI truly understands language

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends them diving into word meaning instead—an abrupt “phase transition” reminiscent of water flashing into steam. By revealing this hidden switch, researchers open a window into how transformer models such as ChatGPT grow smarter and hint …

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Formal guidelines can enable AI to precisely maneuver and position medical needles

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Imagine a physician attempting to reach a cancerous nodule deep within a patient’s lung—a target the size of a pea, hidden behind a maze of critical blood vessels and airways that shift with every breath. Straying one millimeter off course could puncture a major artery, and falling short could mean missing the cancer entirely, allowing …

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Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

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Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been primarily applied to low-level sensor data, despite behavioral data often being more informative due to their alignment with physiologically relevant timescales and quantities. We develop foundation models of such behavioral signals …

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