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How We Are Testing Our Agents in Dev Towards Data Science

How We Are Testing Our Agents in DevTowards Data Science Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way.
The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.

 Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way.
The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science. Read More  

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OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale MarkTechPost

OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale MarkTechPost

OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At ScaleMarkTechPost How do you turn slow, manual click work across browsers and desktops into a reliable, automated system that can actually use a computer for you at scale? Lux is the latest example of computer use agents moving from research demo to infrastructure. OpenAGI Foundation team has released Lux, a foundation model that operates real desktops
The post OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale appeared first on MarkTechPost.

 How do you turn slow, manual click work across browsers and desktops into a reliable, automated system that can actually use a computer for you at scale? Lux is the latest example of computer use agents moving from research demo to infrastructure. OpenAGI Foundation team has released Lux, a foundation model that operates real desktops
The post OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale appeared first on MarkTechPost. Read More  

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On the Challenge of Converting TensorFlow Models to PyTorch Towards Data Science

On the Challenge of Converting TensorFlow Models to PyTorchTowards Data Science How to upgrade and optimize legacy AI/ML models
The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science.

 How to upgrade and optimize legacy AI/ML models
The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science. Read More  

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The Machine Learning “Advent Calendar” Day 5: GMM in Excel Towards Data Science

The Machine Learning “Advent Calendar” Day 5: GMM in ExcelTowards Data Science This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general form of Lloyd’s method.
Using simple Excel formulas, we implement EM step by step in 1D and 2D, and we visualise how the Gaussian curves or ellipses move during training. The means shift, the variances adjust, and the shapes gradually settle around the true structure of the data.
GMM provides a richer, more flexible way to model clusters, and becomes intuitive once the process is made visible in a spreadsheet.
The post The Machine Learning “Advent Calendar” Day 5: GMM in Excel appeared first on Towards Data Science.

 This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general form of Lloyd’s method.
Using simple Excel formulas, we implement EM step by step in 1D and 2D, and we visualise how the Gaussian curves or ellipses move during training. The means shift, the variances adjust, and the shapes gradually settle around the true structure of the data.
GMM provides a richer, more flexible way to model clusters, and becomes intuitive once the process is made visible in a spreadsheet.
The post The Machine Learning “Advent Calendar” Day 5: GMM in Excel appeared first on Towards Data Science. Read More  

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The Step-by-Step Process of Adding a New Feature to My IOS App with CursorTowards Data Science

The Step-by-Step Process of Adding a New Feature to My IOS App with CursorTowards Data Science Cursor is great at writing code but not as good when it comes to design
The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science.

 Cursor is great at writing code but not as good when it comes to design
The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science. Read More  

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A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play Towards Data Science

A Product Data Scientist’s Take on LinkedIn Games After 500 Days of PlayTowards Data Science What a simple puzzle game reveals about experimentation, product thinking, and data science
The post A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play appeared first on Towards Data Science.

 What a simple puzzle game reveals about experimentation, product thinking, and data science
The post A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play appeared first on Towards Data Science. Read More  

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YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World Towards Data Science

YOLOv1 Paper Walkthrough: The Day YOLO First Saw the WorldTowards Data Science A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch
The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World appeared first on Towards Data Science.

 A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch
The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World appeared first on Towards Data Science. Read More  

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UK and Germany plan to commercialise quantum supercomputing AI News

UK and Germany plan to commercialise quantum supercomputing AI News

UK and Germany plan to commercialise quantum supercomputingAI News The UK and Germany plan to integrate their science sectors to accelerate the commercialisation of quantum supercomputing technology. Announced on the final day of the German president’s state visit, these joint commitments target the gap between R&D and enterprise application in computing, sensing, and timing. The partnership involves specific funding to fast-track product development and
The post UK and Germany plan to commercialise quantum supercomputing appeared first on AI News.

 The UK and Germany plan to integrate their science sectors to accelerate the commercialisation of quantum supercomputing technology. Announced on the final day of the German president’s state visit, these joint commitments target the gap between R&D and enterprise application in computing, sensing, and timing. The partnership involves specific funding to fast-track product development and
The post UK and Germany plan to commercialise quantum supercomputing appeared first on AI News. Read More