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Run the Full DeepSeek-R1-0528 Model Locally

KDnuggets

Download and configure the 1.78-bit Install it on an Ubuntu distribution using the following commands: apt-get update apt-get install pciutils -y curl -fsSL [link] | sh Step 2: Download and Run the Model Run the 1.78-bit His vision is to build an AI product using a graph neural network for students struggling with mental illness.

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You can now download the source code that sparked the AI boom

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On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not.

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7 Cool Python Projects to Automate the Boring Stuff

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By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 9, 2025 in Python Image by Author | Ideogram Have you ever spent several hours on repetitive tasks that leave you feeling bored and… unproductive? But you can automate most of this boring stuff with Python. I totally get it. Let’s get started.

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How I Automated My Machine Learning Workflow with Just 10 Lines of Python

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The world’s leading publication for data science, AI, and ML professionals. In this article, I’ll walk you through a simple but powerful Python automation that selects the best machine learning models for your dataset automatically. Just plug in your data and let Python do the rest. Why Automate ML Model Selection?

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AI Agents in Analytics Workflows: Too Early or Already Behind?

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Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind? The best part?

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Deploying the Magistral vLLM Server on Modal

KDnuggets

With Modal, you can configure your Python app, including system requirements like GPUs, Docker images, and Python dependencies, and then deploy it to the cloud with a single command. First, install the Modal Python client. file and add the following code for: Defining a vLLM image based on Debian Slim, with Python 3.12

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning Blog

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

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