ChatGPT, Galactica, and the Progress Trap
When large language models fall short, the consequences can be serious. Why is it so hard to acknowledge that?
8 Best Smartwatches (2022): Apple Watch, Wear OS 3, Hybrid Watches
These WIRED-tested wearables reduce your reliance on a phone while keeping you connected.
DeepMind’s AlphaCode attains ‘average’ rating in programming competition
A team of researchers at DeepMind has tackled another difficult task—generating computer code to satisfy a natural language request. In their paper published in the journal Science, the group describes the approach they used in creating their AI app and outline how well it did when pitted against human programmers. J. Zico Kolter with Carnegie …
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Production Infrastructure at Palantir: User-minded API design
Intro It’s trendy right now for organizations to describe themselves as “outcome-oriented,” where members of the organization are accountable for the results of their work. The Production Infrastructure group at Palantir commits itself to being oriented around our users’ outcomes — but how does this translate into building good software? Our users’ outcomes are often dictated by …
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Formation of Robust Bound States of Interacting Photons
Posted by Alexis Morvan and Trond Andersen, Research Scientists, Google Quantum AI When quantum computers were first proposed, they were hoped to be a way to better understand the quantum world. With a so-called “quantum simulator,” one could engineer a quantum computer to investigate how various quantum phenomena arise, including those that are intractable to …
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Prepare data from Amazon EMR for machine learning using Amazon SageMaker Data Wrangler
Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of their time on data preparation. In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly. Customers are adopting more efficient and visual ways to build …
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Exafunction supports AWS Inferentia to unlock best price performance for machine learning inference
Across all industries, machine learning (ML) models are getting deeper, workflows are getting more complex, and workloads are operating at larger scales. Significant effort and resources are put into making these models more accurate since this investment directly results in better products and experiences. On the other hand, making these models run efficiently in production …
Damage assessment using Amazon SageMaker geospatial capabilities and custom SageMaker models
In this post, we show how to train, deploy, and predict natural disaster damage with Amazon SageMaker with geospatial capabilities. We use the new SageMaker geospatial capabilities to generate new inference data to test the model. Many government and humanitarian organizations need quick and accurate situational awareness when a disaster strikes. Knowing the severity, cause, …
Deploy Amazon SageMaker Autopilot models to serverless inference endpoints
Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning (ML) models based on your data, while allowing you to maintain full control and visibility. Autopilot can also deploy trained models to real-time inference endpoints automatically. If you have workloads with spiky or unpredictable traffic patterns that can tolerate cold starts, then deploying …
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What Is a Pretrained AI Model?
Imagine trying to teach a toddler what a unicorn is. A good place to start might be by showing the child images of the creature and describing its unique features. Now imagine trying to teach an artificially intelligent machine what a unicorn is. Where would one even begin? Pretrained AI models offer a solution. A …