systems

A Silent Evolution in AI: The Rise of Compound AI Systems Beyond Traditional AI Models

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and...

AI agents help explain other AI systems

Explaining the behavior of trained neural networks stays a compelling puzzle, especially...

Practices for Governing Agentic AI Systems

Agentic AI systems—AI systems that may pursue complex goals with limited direct supervision—are prone to be broadly useful if we are able to integrate them responsibly into our society. While such systems have substantial...

Search algorithm reveals nearly 200 latest sorts of CRISPR systems

Microbial sequence databases contain a wealth of knowledge about enzymes and other...

Super Charge Your ML Systems In 4 Easy Steps

Welcome to the rollercoaster of ML optimization! This post will take you thru my process for optimizing any ML system for lightning-fast training and inference in 4 easy steps.Imagine this: You finally get placed...

Constructing Higher ML Systems — Chapter 4. Model Deployment and Beyond

When deploying a model to production, there are two vital inquiries to ask:Should the model return predictions in real time?Could the model be deployed to the cloud?The primary query forces us to choose from...

These latest tools could make AI vision systems less biased

Traditionally, skin-tone bias in computer vision is measured using the Fitzpatrick scale, which measures from light to dark. The dimensions was originally developed to measure tanning of white skin but has since been...

Latest AI systems could speed up our ability to create weather forecasts 

The primary, developed by Huawei, details how its recent AI model, Pangu-Weather, can predict weekly weather patterns all over the world far more quickly than traditional forecasting methods, but with comparable accuracy.  ...

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