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AI Features

AutoAdapt: Automated domain adaptation for large language models

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At a glance Problem: Adapting large language models to specialized, high-stakes domains is slow, expensive, and hard to reproduce.  What we built: AutoAdapt automates planning, strategy selection (e.g., RAG vs. fine-tuning),...

Can we AI our way to a more sustainable world?

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So maybe I’ll first turn it over to Amy. Can you tell us a little bit about your job at Microsoft and what got...

Ideas: Steering AI toward the work future we want

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  JAIME TEEVAN: Hi, I’m Jaime Teevan, chief scientist and technical fellow at Microsoft, and today, we’re going to talk about the new future of work.  So back in 2020, researchers from across...

New Future of Work: AI is driving rapid change, uneven benefits

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At a glance AI is driving rapid changes in the workplace, more sharply than those covered in previous editions of...

ADeLe: Predicting and explaining AI performance across tasks

AI Features ag4news -
At a glance AI benchmarks report performance on specific tasks but provide limited insight into underlying capabilities; ADeLe evaluates models...

AsgardBench: A benchmark for visually grounded interactive planning

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At a glance To successfully complete tasks, embodied AI agents must ground and update their plans based on visual feedback. AsgardBench...

GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation

AI Features ag4news -
At a glance VLM-based robot planners struggle with long, complex tasks because natural-language plans can be ambiguous, especially when specifying...

Will machines ever be intelligent? 

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  I’d like to ask each of my guests to introduce themselves. Tell me a little bit about your background and what you’re currently...
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