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• Advanced C# Pattern Matching: Practical Examples Every Developer Should KnowJul 23, 2026. Master advanced C# pattern matching: type, property, relational, logical, list, and switch expressions for cleaner code.
• Part3 - The Shift to Machine LearningJul 16, 2026. A practical explanation of how software engineering shifted from hand-written rules to machine learning systems that learn patterns from data.
• Feature Stores Explained: Managing Machine Learning Features at ScaleJul 15, 2026. Learn how Feature Stores help manage machine learning features at scale through centralized storage, feature serving, versioning, and MLOps integration.
• Specification Pattern in C#Jul 05, 2026. Master the Specification Pattern in C# to avoid method explosion. Represent business rules as reusable, composable objects for cleaner, flexible code.
• Understanding Predicate, Anonymous Methods, and Lambda Expressions in C#Jun 28, 2026. Master C# Predicates, Anonymous Methods, and Lambda Expressions for reusable, maintainable, and expressive code. Elevate your filtering logic!
• Learn LINQ in C# from ScratchJun 26, 2026. LINQ is a set of language and framework features for writing queries on collection types. It is useful for selecting, accessing, and transforming data in a dataset.
• Understanding Loops in AI: The Engine Behind Learning and Intelligent AgentsJun 21, 2026. Discover how loops power AI learning, decision-making, and autonomous agents. Essential for understanding modern AI's iterative engine.
• Count Valid Parentheses Expressions Using Catalan NumbersJun 08, 2026. Given a length n, count the number of valid parentheses expressions that can be formed. The solution is based on the Catalan Number formula, where the number of valid expressions with n/2 pairs of parentheses equals the (n/2)-th Catalan number. This yields an O(n) time and O(1) space solution.
• Expression Contains Redundant Bracket or Not – Java Stack Solution ExplainedJun 05, 2026. Learn how to detect redundant brackets in an expression using a stack. Includes intuition, dry run, complexity analysis, and optimized Java O(n) solution.
• AI Architecture: How Modern AI Systems Are DesignedApr 24, 2026. Explore modern AI architecture: data pipelines, model training, inference layers, and deployment. Build scalable, reliable, production-ready AI applications.
• What is Overfitting in Machine Learning and How to Prevent It?Apr 17, 2026. Overfitting in machine learning? Learn to identify & prevent it! This guide covers techniques like regularization, cross-validation, & early stopping for better models.
• What is AI Inference and How is it Different from TrainingApr 15, 2026. Unlock the secrets of AI! Learn the core differences between AI training and inference, their processes, and real-world applications. Optimize your AI models!
• What are the new features in C# 14 for developer productivity?Apr 09, 2026. Explore C# 14's productivity boosters! Discover streamlined pattern matching, primary constructors, collection expressions, and more for efficient .NET development.
• How to Use Collection Expressions in C# 13 and C# 14Apr 09, 2026. Simplify collection initialization in C# 13 & 14 with collection expressions! Boost readability, reduce boilerplate, and enhance productivity. Learn how!
• Why Modern C# Encourages Functional Programming ConceptsApr 05, 2026. Explore how modern C# embraces functional programming with LINQ, lambdas, records, and pattern matching for cleaner, safer, and more maintainable code.
• How to Train ChatGPT/AI on Your CodebaseMar 26, 2026. Learn how to train AI on your codebase using modern techniques like RAG, embeddings, and fine-tuning. Step-by-step guide for ChatGPT, Codex, Claude, and enterprise LLMs.
• How to Fine-Tune an AI Model for Custom Data Step by StepMar 25, 2026. Learn how to fine-tune AI models like GPT and BERT with your own data. Improve accuracy and customize for chatbots, sentiment analysis, and more! Step-by-step guide.
• NVIDIA GPUs for AI ExplainedMar 21, 2026. Learn about different NVIDIA GPUs for AI including H100, A100, L40S, and RTX series. A beginner-friendly guide to choosing the right GPU for AI training and inference.
• Best GPU Cloud Providers for AI Training in 2026Mar 19, 2026. Looking for the best GPU cloud providers in 2026? Compare AWS, Azure, Google Cloud, CoreWeave, and Lambda Labs for AI training with NVIDIA H100 and A100 GPUs. Pricing, performance, and best use cases explained.
• Best Prices for Cloud GPUsMar 19, 2026. Discover the best prices for cloud GPUs in 2026. Compare NVIDIA H100 and A100 pricing across AWS, Azure, Google Cloud, Lambda Labs, CoreWeave, and low-cost GPU marketplaces.
• How Much Does It Cost to Build an AI Model from ScratchMar 19, 2026. How much does it cost to build an AI model from scratch? Explore real-world AI development costs including GPU training, data, engineering, and deployment in 2026.
• How to Fine-Tune an Open-Source LLM Using Your Own Dataset?Mar 03, 2026. Adapt open-source LLMs to your data! This guide covers fine-tuning strategies, data prep, LoRA, training, evaluation, and deployment for custom AI models.
• Why LLMs Are So Expensive?Feb 28, 2026. Why are LLMs costly? This in depth guide explains training cost, inference cost, GPU infrastructure, attention scaling, KV cache memory, architecture internals, and why some models are more expensive than others.
• How to Use Expressions in Power Automate Feb 18, 2026. Unlock Power Automate's potential! Learn how expressions dynamically manipulate data, add logic, and control automation. Master text, dates, arrays, and more for smarter flows.
• What Is Agent LightningJan 31, 2026. Agent Lightning is a framework for training and optimizing AI agents using reinforcement learning without rewriting agent code. Learn how Agent Lightning works, why it matters, and how it enables continuously improving AI agents.
• How to Train AI Models for Invoice Processing in Power AutomateJan 26, 2026. Automate invoice processing with Power Automate! This guide shows you how to train a custom AI Builder model to extract key data from invoices, saving time and effort. Learn to create a model tailored to your specific invoice layouts.
• What NVIDIA Cosmos Transfer, Predict, Reason, and Isaac GR00T Are and How to Use Them TogetherJan 08, 2026. Learn what Cosmos Transfer 2.5, Cosmos Predict 2.5, Cosmos Reason 2, and Isaac GR00T N1.6 are and how to use them together for synthetic data generation, world prediction, embodied reasoning, and robot policy training.
• Understanding the addProperty() Expression in Power Automate (With Examples)Jan 06, 2026. Learn how to use the addProperty() expression in Power Automate to dynamically add key-value pairs to objects. This enhances JSON shaping and data manipulation for APIs.
• C# 14 Improved Lambda Expressions: Using ref, in, and out Parameters for High-Performance CodeDec 28, 2025. Explore C# 14's enhanced lambda expressions with 'ref', 'in', and 'out' parameters. Boost performance, readability, and code consistency for critical operations.
• C# 14 in Action: High-Performance Lambda Expressions with Parameter ModifiersDec 26, 2025. Explore C# 14's enhanced lambda expressions with parameter modifiers (ref, in, out) for high-performance code, clearer intent, and expressive APIs. Optimize your C#!
• Multi-Agent Reinforcement Learning: What It Is and How It WorksDec 26, 2025. Learn what multi-agent reinforcement learning is and how it works, including architectures, algorithms, coordination strategies, and real-world applications.
• What’s New in C# 14 (.NET 10): 7 Powerful Language Features Every C# Developer Should KnowDec 23, 2025. Explore C# 14's powerful features in .NET 10! Boost productivity with extension members, extension operators, field keyword, null-conditional assignment, and more. Write cleaner, safer, and faster code!
• Array Expressions in Power Automate Explained with Practical ExamplesDec 22, 2025. Unlock the power of arrays in Power Automate! Learn to manipulate data with length(), join(), split(), and more. Build efficient flows using practical examples. Master array expressions!
• What is Agent Lightning And How to Train AI Agents with Reinforcement LearningDec 16, 2025. Learn what Agent Lightning is and how Microsoft’s open-source framework enables reinforcement learning for AI agents without rewriting existing agent code.
• Common Power Automate Expressions Explained with ExamplesDec 16, 2025. Power Automate expressions are a powerful way to build dynamic and intelligent workflows. This article explains the most commonly used Power Automate expressions with clear syntax, real-world examples, and best practices. Ideal for beginners and intermediate users looking to write cleaner, more reliable, and production-ready automation flows.
• Trigger Conditional in Power Automate: How & When to Use ThemDec 10, 2025. Trigger Conditions in Power Automate allow you to control when a flow should start, based on specific logical expressions. Instead of running a flow every time a trigger event occurs—such as when an item is created, modified, or a file is added—you can use trigger conditions to ensure the flow runs only when certain conditions are met. By adding one or more trigger conditions to a flow’s trigger settings, you can limit unnecessary executions, improve performance, reduce flow run counts, and ensure automation is executed only when truly required. Trigger conditions use Power Automate expressions to evaluate field values, changes, or business rules before the flow begins.
• Build a Serverless AutoML Platform on AWS for Just $0.02 per Training JobDec 03, 2025. Build a serverless AutoML platform on AWS for just $10-25/month! Train models by uploading CSVs. A cost-effective alternative to SageMaker endpoints.
• How Large Language Models (LLMs) WorkNov 30, 2025. Learn how Large Language Models (LLMs) work in simple, natural language. Understand tokenization, embeddings, transformers, attention, training, inference, hallucinations, applications, prompt engineering, and the future of AI.
• Generative AI: When Your Learning Architecture Is Not Smart Enough, Your Model Gets WorseNov 27, 2025. Generative AI models degrade with naive learning architectures. Learn how to build smarter Reinforced Learning (RLA) and Self Learning (SLA) systems for model improvement.
• Python - File Operations and Regular ExpressionsNov 17, 2025. Master Python file handling: read, write, and manipulate text & binary files. Explore regular expressions for data extraction and validation. Learn by example!
• Delegates in C# – Explanation & Use CasesNov 15, 2025. Master C# delegates! This guide covers definition, purpose, types (single-cast, multi-cast), anonymous methods, lambda expressions, built-in delegates, and use cases.
• Training Your Web3 & AI Team on .NET 10 + VS 2026: Curriculum Blueprint for 2026Nov 13, 2025. Blueprint for training Web3 & AI teams on .NET 10 and VS 2026. Master distributed architecture, smart contracts, AI workflows, and DevOps for enterprise adoption.
• How to disable or remove ViewState Hidden Field in ASP.NET PageNov 06, 2025. Learn how to effectively disable or remove the ViewState hidden field in your ASP.Net pages using C# and regular expressions. Optimize your page size and improve performance by eliminating unnecessary ViewState data. This method involves overriding the Render event to remove the ViewState tag.
• Artificial Intelligence: Training, Self-Learning, and Inference: How Modern AI Actually ImprovesOct 30, 2025. Unlock AI success! Master the AI lifecycle: training for broad skills, self-learning for adaptation, & inference for outcomes. Optimize for cost, safety, & speed.
• Lambda Expressions and LINQ in ASP.NET Web FormsOct 29, 2025. Master ASP.NET Web Forms with LINQ and Lambda expressions! Simplify data querying, filtering, and manipulation for cleaner, more efficient code. Boost performance!
• Chapter 3: Operators and Expressions in C++Oct 23, 2025.
• LLM Poisoning: Detection, Defense, and Prevention StrategiesOct 18, 2025. Learn how Large Language Model (LLM) poisoning attacks compromise AI integrity, how they work, and how to defend against them with structured detection and trust mechanisms.
• Calculating the Area of Any Regular Polygon: Powering Solar Farm Layout OptimizationOct 12, 2025. Unlock the power of regular polygon area calculation for solar farm optimization! This article provides a comprehensive guide, from the mathematical formula to Python implementation, complete with validation, edge cases, and best practices. Learn how to maximize land use and energy yield in renewable energy projects, ensuring cost-effectiveness and a sustainable future. Discover real-world applications and step-by-step instructions for efficient solar panel array design.
• Does Google Use My Data to Train Gemini Enterprise AI? Privacy, Security, and Data Protection ExplainedOct 10, 2025. Understand how Google Gemini Enterprise handles your company data. Learn whether prompts, chats, or Workspace content are used for model training, and how Google ensures enterprise-grade privacy and compliance.
• Validate Email Addresses with Regular Expressions in C#Oct 06, 2025. Learn how to effectively validate email addresses in C# using regular expressions (regex). This guide covers practical regex patterns, from simple checks to more robust RFC-like validation. Explore safer alternatives like System.Net.Mail.MailAddress and techniques for handling internationalized domains (IDN). Discover best practices for performance, security, and comprehensive email verification beyond just format, including unit testing and real-world examples.
• How Can I Sort a List of Objects by Property in Java?Oct 03, 2025. Learn how to sort lists of objects by property in Java using Comparable, Comparator, Lambda expressions, and the Streams API. This guide provides practical examples for sorting by different object properties like ID, name, salary, and more. Discover best practices for ascending and descending order sorting, enhancing your Java coding skills for efficient and maintainable applications. Master the art of sorting with clean, concise, and SEO-friendly code examples.
• Q3E Model Training Pipeline: Architecture, Training & ResultsOct 03, 2025. Explore Qwen3 Embedding, a state-of-the-art solution for text embedding and reranking built upon the Qwen3 foundation model. This article dives into its architecture, training pipeline, and impressive benchmark results, highlighting its multilingual capabilities and flexibility. Discover how Qwen3 Embedding empowers developers to build more effective search engines, recommendation systems, and AI assistants with improved semantic understanding across 100+ languages. Learn about its practical applications and future potential.
• Large Language Models (LLMs) Under the Hood: A Technical Deep DiveOct 01, 2025. Dive into the technical depths of Large Language Models (LLMs). Explore tokenization, transformer architecture, training pipelines, instruction tuning, inference optimization, quantization, and long-context methods. Learn practical engineering details for building, deploying, and evaluating LLM systems, including tool use, security, and serving architectures. Discover tips for optimizing performance and ensuring reliability.
• Artificial Intelligence: The GitHub Effect on LLMs - Why Noisy Code Corrupts Training—and How to Build Reliable Autonomous CodersSep 25, 2025. Public code often lacks production-grade quality, corrupting LLM training and leading to unreliable autonomous coders. This article explores how noisy code skews model internals, causing failures in autonomous code generation. It provides concrete data and system fixes, emphasizing data curation, training corrections, inference guardrails, and evaluations that prioritize operational reliability for building truly useful AI coding tools.
• 🎯 Fine-Tuning in Deep LearningSep 24, 2025. Unlock the power of pre-trained models! This article explores fine-tuning, a deep learning technique that adapts existing models for specific tasks. Learn how it saves time, improves accuracy, and works with limited data. Discover real-world applications in NLP, computer vision, and more. Master the art of efficient AI development!
• All you need to know about switch expression and Modern Pattern MatchingSep 22, 2025. Explore the evolution of the C# switch statement from its traditional constant-based form to the powerful pattern matching capabilities of modern C#. This article covers type patterns, relational patterns, positional patterns, and switch expressions introduced in C# 7.0 and later. Learn how to leverage these features for cleaner, more expressive code and improved conditional logic.
• Energy-Efficient AI: Optimising Model Training and Inference with Azure AIAug 29, 2025. Optimize AI energy use with Azure! Train smarter, deploy efficiently, and monitor impact. Reduce costs, meet sustainability goals, and gain a competitive edge.
• Mastering the Filter Array Action in Power Automate: A Complete Guide for Dynamic Data Filtering 🔥Aug 22, 2025. Learn how to effectively use the Filter Array action in Power Automate to filter and extract specific data from arrays and objects. This guide covers practical examples, real-world use cases, and advanced tips to streamline your flow logic and handle complex conditions with ease.
• Best Certifications and Courses for Prompt EngineeringAug 21, 2025. Want to become a prompt engineer? Explore the best certifications and courses in 2025 that teach prompt engineering, LLM workflows, and AI agent design for high-paying AI careers.
• What are arrow functions and how are they different from regular functions?Aug 20, 2025. Arrow functions provide a simpler and more concise way to write functions in JavaScript. This article explains what arrow functions are, their syntax, and how they differ from regular functions in behavior and use cases.
• How Do Large Language Models Work? A Deep Dive into LLM AIAug 19, 2025. Discover how Large Language Models (LLMs) like ChatGPT work, from their training lifecycle and Transformer architecture to challenges like bias, sustainability, and security. This in-depth guide explains the mechanics of LLMs, their impact on industries, and the future of Generative AI.
• What are Difference between Regular functions and Normal Functions?Aug 20, 2025. Arrow functions in JavaScript provide a shorter and cleaner way to write functions. This article explains what arrow functions are, how they differ from normal functions, and when to use them effectively.
• What are the Main Challenges in Training Multimodal Models Compared to Unimodal Models?Aug 19, 2025. Training multimodal models comes with exciting possibilities, but it also brings unique challenges. Let’s explore those challenges in simple terms.
• What Is ReAct Prompting in AI? (Reasoning + Acting for Smarter AI)Aug 16, 2025. ReAct prompting is a powerful technique that combines reasoning and acting to make AI systems smarter, more accurate, and interactive. Learn how ReAct works, see examples, and explore how to use it in AI agents and business workflows.
• What is prompt engineering and why is it so important right now?Aug 16, 2025. Prompt engineering is one of the fastest-growing AI skills. Learn what it is, why it matters, and how students and businesses can benefit from mastering it. Includes techniques, use cases, and training from C# Corner’s Learn AI.
• Learn Prompt Engineering for LLMs: The Ultimate Beginner’s Guide (ChatGPT, Claude, Gemini)Aug 12, 2025. Learn prompt engineering for Large Language Models (LLMs) like ChatGPT, Claude, and Gemini. Step-by-step guide, real-world examples, and courses from LearnAI.CSharpCorner.com to master AI communication.
• Understanding Functions in JavaScriptAug 13, 2025. Learn all about JavaScript functions — from declarations, expressions, and arrow functions to callbacks and best practices — with syntax examples, tips, and explanations for writing clean, reusable, and efficient code.
• Understanding Cron ExpressionsAug 12, 2025. A Cron Expression defines the exact schedule for automating tasks in Unix, Linux, and cloud systems. Learn its structure, formats, special characters, and examples for precise job scheduling.
• Mastering Common Table Expressions (CTEs) in SQL ServerAug 12, 2025. This article explains SQL Server Common Table Expressions (CTEs), covering benefits, performance, best practices, and real-world examples, helping developers simplify complex queries, improve readability, and handle recursive or hierarchical data efficiently.
• What is Reinforcement Learning?Aug 08, 2025. Reinforcement Learning (RL) is a powerful branch of AI where agents learn optimal behavior by interacting with an environment and receiving feedback. This article explains how RL works, its key components, algorithms, real-world use cases, and its significance in building intelligent systems.
• What Are Generators vs Regular Functions in Python?Aug 08, 2025. Learn the key differences between generators and regular functions in Python. Understand how they work, when to use them, and how they impact memory and performance with real Python code examples.
• GenAI Explained: How Does It Actually Work? - Part 2Aug 08, 2025. Generative AI creates text, images, audio, and more by learning patterns from vast data. It powers tools like ChatGPT, DALL·E, and Midjourney, transforming creativity, productivity, and problem-solving across industries.
• 50 Most Frequently Asked Questions About AIAug 06, 2025. Explore the top 20 most FAQ on AI—answered clearly for developers. Learn how AI works, compare tools like GPT-4 vs Claude, understand ethics, privacy, and productivity tips.
• How Prompt Engineering Changed the Way I Write CodeAug 05, 2025. I took a prompt engineering course to master writing effective prompts for AI tools like ChatGPT. It transformed my coding workflow by improving AI collaboration, structured reasoning, and producing reliable, high-quality outputs.
• How does Generative AI differ from Traditional AI?Aug 01, 2025. Discover the key differences between Traditional AI and Generative AI—one predicts and classifies, the other creates new content. Explore their use cases, models, and how they complement each other in AI’s future.
• Federated Learning Explained: Keep Private Data Private While Training Powerful ModelsJul 29, 2025. In a world full of smart devices — from smartphones and fitness watches to smart refrigerators — we are surrounded by data. This data can help improve artificial intelligence (AI) systems, but it also raises big concerns:
• Maintaining HIPAA Policies, Training & Documentation: A Continuous Compliance FrameworkJul 12, 2025. Learn how to version-control HIPAA policies, automate workforce training tracking, and keep your compliance documentation continuously up to date with audit-ready processes and tools.
• Why CTOs Can't Afford to Ignore Vibe Coding: The New Must-Have Training for Development TeamsJun 23, 2025. Vibe Coding is a cognitive framework that combines human creativity with AI-assisted development, enabling teams to build smarter, faster, and more resilient software through high-context, future-proof thinking.3/3
• Zero-Shot Text Classification with BART and XLM-RobertaJun 19, 2025. In this post, we’ll break down what zero-shot classification is, how it works with BART and XLM-Roberta, and give you a step-by-step tutorial you can run in your own projects.
• How Do We Upskill Our Engineers to Work with or Build GenAI Systems?Jun 14, 2025. Learn how to upskill your engineering teams to build and integrate Generative AI systems with training resources, toolkits, and expert guidance.
• Should We Train Our Own LLMs or Use Existing Ones via APIs?Jun 13, 2025. Learn whether to train your own LLM or use existing APIs, with pros, cons, cost considerations, and expert tips to guide your enterprise AI strategy.
• Getting Started with Machine Learning in .NETJun 05, 2025. Learn how to build a simple ML.NET app in .NET using Visual Studio. From loading CSV data to training a regression model and making predictions, this guide covers the basics of integrating ML into your projects.
• Smart Data Strategies in AI Model Training: Developing Reliable AIMay 20, 2025. Successful AI depends on high-quality, relevant, and well-governed data. Real-world data, enriched responsibly with synthetic input, ensures accuracy, reliability, and ethical compliance across modern AI applications and business deployments.
• What’s New in Grafana 12.0May 08, 2025. Explore Grafana 12.0's new features like Git Sync, dynamic dashboards, and enhanced drilldowns. Perfect for beginners seeking practical insights.
• Rendering Dynamic Content with JavaScript Expressions in ReactMay 06, 2025. How React updates the UI when your data changes? Let's explore how to use variables, props, state, and expressions to display dynamic values, all with practical examples.
• Mastering the New Era of C#: Exploring Advanced Features in C# 14Apr 15, 2025. C# 14 represents a polished and sophisticated leap forward in the language’s maturity. C# 14 refines the language with primary constructors, collection expressions, interceptors, and performance enhancements.
• C# 14: Exploring New Language Features for Modern .NET DevelopmentApr 02, 2025. In this article, I explore the most important features introduced in C# 14.0, including primary constructors in classes, collection expressions, enhanced pattern matching, and required members. I walk through how each of these additions simplifies code, improves performance, and promotes safer, more expressive development.
• Understanding SQL CTE (Common Table Expression)Mar 19, 2025. A Common Table Expression (CTE) in SQL is a temporary result set that improves query readability and performance. CTEs simplify complex queries, support recursive operations, and help with aggregation and multi-step calculations.
• Understanding Expressions in C#: Dynamic Code and Query GenerationMar 19, 2025. Expressions in C# allow dynamic query generation, runtime compilation, and code transformation using Expression Trees. They are widely used in LINQ, ORM frameworks like Entity Framework, and reflection to optimize performance and enable flexible, data-driven logic.
• Synthetic Data Generation for AI Model Training on AzureFeb 18, 2025. Synthetic data generation is essential for AI model training, especially on Azure. It helps create diverse, high-quality datasets while preserving privacy and overcoming data limitations.
• Introduction to Azure AI FoundryFeb 11, 2025. Azure AI Foundry is a powerful platform by Microsoft that simplifies AI development, offering pre-built models, seamless Azure integration, custom model support, and enterprise scalability for industries like healthcare, finance, retail, and manufacturing.
• Advanced Power Automate Expressions for SharePoint AutomationFeb 04, 2025. Learn how to use dynamic content, logical functions, string manipulations, and data transformations to enhance workflows. Streamline processes, boost efficiency, and maximize SharePoint automation potential.
• Understanding Precision in SQL Server CalculationsJan 24, 2025. Learn why SQL Server calculations can produce different results depending on the approach used. Discover how single-step and multiple-step calculations handle precision and rounding, and how to achieve consistent outcomes with explicit rounding.
• Static Lambda in C# 12 : Performance ImprovementJan 02, 2025. This article explores Static Lambdas in C# 12, highlighting their performance benefits by preventing variable capture. Examples include sorting, filtering, parallel processing, and array operations, demonstrating efficient and optimized code execution.
• Exploring LensGo AI: A Game-Changer in Artificial IntelligenceJan 02, 2025. LensGo AI is an innovative platform that leverages the power of artificial intelligence to revolutionize visual content creation.
• Using Derived Column Task in SQL Server Integration ServicesDec 30, 2024. The Derived Column Task in SQL Server Integration Services (SSIS) allows you to transform or modify data within your ETL process. It enables the creation of new columns or updates to existing ones using SSIS expressions.
• Using Regex in C# 9.0Dec 28, 2024. Regular Expressions (Regex) can help with text processing, validating data, and manipulating strings in C# 9.0. This article explains the key features, applications, and benefits of using Regex in your code.
• Federated Learning on Azure ML: Training AI Models Without Data SharingDec 27, 2024. Learn how Federated Learning on Azure ML enables AI model training without sharing sensitive data. This privacy-preserving AI approach allows multiple organizations to collaboratively train models while keeping data decentralized.
• Distributed Training of Deep Learning Models with Azure ML & PyTorch LightningDec 19, 2024. Learn how to perform distributed training of deep learning models using Azure ML and PyTorch Lightning.
• What is a CTE, and How Do You Write a CTE in SQL Server?Nov 29, 2024. A Common Table Expression (CTE) in SQL Server is a temporary result set that can be referred to within a SELECT, INSERT, UPDATE, or DELETE query. CTEs simplify complex queries by breaking them into manageable parts.