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7 top free AI coding tools

AI News

AI coding tools leverage machine learning, deep learning, and natural language processing to assist developers in writing and optimising code. Key features: Intelligent code completion: Predicts and suggests relevant code snippets. Key features: Python-focused autocompletion: Provided predictive code completions.

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Microsoft releases Phi-4 language model on Hugging Face

AI News

Microsofts AI Principal Research Engineer, Shital Shah, addressed the demand on X : “We have been completely amazed by the response to phi-4 release. From auto-filling forms to generating tailored content, its particularly valuable in industries like healthcare and customer service, where compliance, speed, and accuracy are critical.

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How iFood built a platform to run hundreds of machine learning models with Amazon SageMaker Inference

AWS Machine Learning Blog

With the support of AWS, iFood has developed a robust machine learning (ML) inference infrastructure, using services such as Amazon SageMaker to efficiently create and deploy ML models. When training is complete, the inference pipeline can be executed to begin the model deployment.

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10 Best AI Tools for Small Manufacturers (February 2025)

Unite.AI

The system automatically tracks stock movements and allocates materials to orders (using a smart auto-booking engine) to maintain optimal inventory levels. Key features of Katana: Live Inventory Control: Real-time tracking of raw materials and products with auto-booking to allocate stock to orders efficiently. Visit Odoo 4.

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Support Vector Regression: A Comprehensive Guide to Advanced Machine Learning

How to Learn Machine Learning

Did you know Support Vector Regression (SVR) represents one of the most powerful predictive modeling techniques in machine learning? As an extension of Support Vector Machines (SVM) , Support Vector Regression has revolutionized how data scientists approach complex regression problems.

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Auto-Completion Style Text Generation with GPT-2 Model

Machine Learning Mastery

This post is in six parts; they are: Traditional vs Neural Approaches Auto-Complete Architecture Basic Auto-Complete Implementation Caching and Batched Input When you type in a word in Google's search bar, such as "machine", you may find some additional words are suggested, such as "learning," to make up "machine learning".

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Ray jobs on Amazon SageMaker HyperPod: scalable and resilient distributed AI

AWS Machine Learning Blog

Ray promotes the same coding patterns for both a simple machine learning (ML) experiment and a scalable, resilient production application. A RayJob also manages the lifecycle of the Ray cluster, making it ephemeral by automatically spinning up the cluster when the job is submitted and shutting it down when the job is complete.