Getting started with deploying real-time models on Amazon SageMaker

Favorite Amazon SageMaker is a fully-managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. ML is realized in inference. SageMaker offers four Inference options: Real-Time Inference Serverless Inference Asynchronous Inference Batch Transform These four options

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Shared by AWS Machine Learning November 8, 2022

ReAct: Synergizing Reasoning and Acting in Language Models

Favorite Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team Recent advances have expanded the applicability of language models (LM) to downstream tasks. On one hand, existing language models that are properly prompted, via chain-of-thought, demonstrate emergent capabilities that carry out self-conditioned reasoning traces

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Shared by Google AI Technology November 8, 2022

Infinite Nature: Generating 3D Flythroughs from Still Photos

Favorite Posted by Noah Snavely and Zhengqi Li, Research Scientists, Google Research We live in a world of great natural beauty — of majestic mountains, dramatic seascapes, and serene forests. Imagine seeing this beauty as a bird does, flying past richly detailed, three-dimensional landscapes. Can computers learn to synthesize this

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Shared by Google AI Technology November 7, 2022

10 reasons why a KM Strategy is important

Favorite You need a strategy if your KM introduction and deployment is to be successful. Here are 10 reasons why. Implementing (or Introducing) Knowledge Management without a strategy is a risky endeavour. As Sun Tzu is reputed to have said said, in “the art of war”, “Strategy without tactics is

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Shared by Nick Milton November 7, 2022