Most of an LLM’s memory & compute are consumed by matrix multiplication operations. Today on the blog, learn about techniques used to accelerate mixed-input matrix multiplication for increased efficiency w/ performance close to peak hardware capabilities ↓
https://
goo.gle/3tXPuS8
@googleai
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Accelerating Matrix Multiplication for LLM Efficiency
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Google Scientists Named ACM Fellows for Computing Contributions
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Congratulations to Googlers Natasha Noy, @Jimantha
, & former Googler Ramon Caceres for being named ACM (
@TheOfficialACM
) Fellows, in recognition of transformative contributions to computing science & technology that have improved how we live, work & play. -
Google Research Leadership Discusses AI Progress and Societal Impact
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Google Research works to progress science, advance society & improve the lives of billions of people. From Research@ NYC watch Corinna Cortes (VP, Research) & Katherine Chou (Sr Director, Product Management) discuss what's top of mind for Google Research →https://t.co/9RV8Pwuf2A pic.twitter.com/q1lafpXcWr
— Google AI (@GoogleAI) 24 janvier 2024Google Research works to progress science, advance society & improve the lives of billions of people. From Research@ NYC watch Corinna Cortes (VP, Research) & Katherine Chou (Sr Director, Product Management) discuss what's top of mind for Google Research →
https://
goo.gle/492R9V1 -
Exphormer: Scaling Graph Transformers with Sparse Attention
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Graph transformers are important for ML on graph-structured data, but scaling them up for large graphs is difficult. Here you can learn about Exphormer, a sparse attention framework that uses expander graphs to improve scalability for graph transformers. https://t.co/JxQqOq4yNn pic.twitter.com/85sLNnFkiD
— Google AI (@GoogleAI) 23 janvier 2024Graph transformers are important for ML on graph-structured data, but scaling them up for large graphs is difficult. Here you can learn about Exphormer, a sparse attention framework that uses expander graphs to improve scalability for graph transformers. https://
goo.gle/48JVvAW -
Google Quantum AI Advances Toward Practical Quantum Computing
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As the race to build the world's first truly useful quantum computer intensifies, so does the need for clear-eyed assessment. In this episode of Field Notes, dive deeper w/ @GoogleQuantumAI to understand the reality of quantum computing & its impact. →
https://
goo.gle/3HpQeSX -
Google Audio Magic Eraser: AI-powered sound editing for Pixel phones
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Google Research helped develop Audio Magic Eraser, an AI-powered editing feature for Pixel 8 & Pixel 8 Pro that helps reduce distracting sounds in videos via #ML models that can identify & sort sounds into distinct layers that you can control. Check it out:
https://
youtube.com/watch?v=8BoXYz
jo7cA
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ASPIRE Framework Enhances LLM Selective Prediction with Confidence Scores
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Introducing ASPIRE, a framework that enhances the selective prediction capabilities of large language models, enabling them to output an answer paired with a confidence score. Learn how it outperforms state-of-the-art methods on a variety of QA datasets. →… pic.twitter.com/G8E3FA0XI6
— Google AI (@GoogleAI) 18 janvier 2024Introducing ASPIRE, a framework that enhances the selective prediction capabilities of large language models, enabling them to output an answer paired with a confidence score. Learn how it outperforms state-of-the-art methods on a variety of QA datasets. →
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Google Quantum AI Lab: Art Meets Innovation in Santa Barbara
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The Google Quantum AI team embraces the intersection between art & science, as seen in their quantum computing labs in Santa Barbara, CA. Check out @NewsHour’s walk-through of this space, where art brings the lab to life and inspires innovation →https://t.co/ZIqiT48OOI pic.twitter.com/wKs2aXewQP
— Google AI (@GoogleAI) 17 janvier 2024The Google Quantum AI team embraces the intersection between art & science, as seen in their quantum computing labs in Santa Barbara, CA. Check out @NewsHour
’s walk-through of this space, where art brings the lab to life and inspires innovation →
https://
goo.gle/47CNhZS -
AMIE AI Demonstrates Clinical Consultation Skills in Virtual OSCE
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In our latest work, AMIE and PCPs performed consultations with patient actors in a virtual OSCE-style study. AMIE showed it could acquire diagnostic information conversationally, while also displaying alignment with attributes of clinicians, like communicating with empathy.
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AMIE: Aligning AI Systems with Skilled Clinician Attributes Safely
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AMIE is one way we are safely exploring a vision of the future, where AI systems might be better aligned with attributes of a skilled clinician. Further research is needed in this domain to ensure that we are building safe, equitable, helpful, and transparent #HealthAI systems.