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Mastering C# Collections: IEnumerable vs ICollection vs IList for Clean, Efficient Code

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C# Collections: IEnumerable vs ICollection vs IList When working with collections in C# , understanding the distinctions between IEnumerable<T> , ICollection<T> , and IList<T> is essential for writing scalable, maintainable, and performant applications. 1️⃣ IEnumerable<T>: Best for Iteration & Querying Ideal Use Cases: Lazy evaluation for handling large datasets efficiently. Read-only access without modifying the collection. Supports LINQ queries for filtering and transformation. Example: using System.Collections.Generic; IEnumerable<int> numbers = new List<int> { 1, 2, 3, 4, 5 }; foreach (var number in numbers) { Console.WriteLine(number); // Iterating forward only } 2️⃣ ICollection<T>: Supports Modification & Sizing Ideal Use Cases: Adding, removing, and clearing elements. Maintaining a Count property for efficient sizing. General data mana...
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Unlocking the Power of Generative AI: A Beginner's Guide - Brief Introduction

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Introduction Artificial Intelligence (AI) has rapidly evolved, shaping the way machines assist humans in complex tasks. From Machine Learning (ML) to Deep Learning (DL), technology has paved the way for *Generative AI* (GenAI), a fascinating subset of AI that enables machines to create original content—be it text, images, or even videos. In this blog, we’ll explore the foundational elements of AI, its progression to GenAI, and the core technologies that power its capabilities. Understanding AI and Its Evolution Here’s a structured overview of how AI progresses toward GenAI: Artificial Intelligence (AI) AI refers to systems that mimic human intelligence to perform tasks without human intervention. Machine Learning (ML) ML enables computers to learn from data and make predictions or classifications. Deep Learning (DL) DL uses Neural Networks to train complex models with vast datasets.   Deep Learning consists of: Artificial Neural Networks (ANN): Used for predictions and classif...
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