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• Automate Ticket Triage with Strands Agents SDKJul 02, 2025. Build an AI agent using Strands Agents SDK to automate IT ticket classification. Utilize custom Python tools and Amazon Bedrock models to streamline support workflows, enhancing response accuracy and speed.
• The Ultimate Guide to Prompt Engineering in Generative AIJul 01, 2025. Prompt engineering is the art of crafting clear, context-rich instructions for generative AI models, unlocking their full potential. This guide explains key principles, techniques, and practical tips for effective AI prompting.
• Page Object Model Design Pattern: Benefits and ImplementationJun 30, 2025. The Page Object Model (POM) design pattern in Selenium improves test automation by separating UI structure from test logic, ensuring maintainability, reusability, readability, and scalability for growing web applications.
• Understanding the Logical Design of IoTJun 28, 2025. In this article, we will learn about Logical design of IoT with the help of three terms - IoT Functional Blocks, Communication Models (Request-Response, Publish-Subscribe, Push-Pull, Excusive Pair Communication model), IoT communication APIs (REST-based and websocket-based Communication APIs) .
• Meet the o3 Series Models: Smarter Tools for Reasoning and Problem Solving on AzureJun 24, 2025. Microsoft has introduced a powerful range of AI models called the o3 series, designed to help with tasks that require deep thinking, reasoning, and advanced problem-solving.
• Rethinking Large Language Model Architectures: Toward Self-Learning, Language-Grounded, and Data-Efficient AIJun 23, 2025. A deep dive into evolving LLM architectures, focusing on making AI more self-learning, language-grounded, and data-efficient for smarter, more adaptable models with reduced training overhead.
• Top Generative AI Models in 2025: Best LLMs for Text, Image, Video, and MusicJun 19, 2025. Explore the most powerful and popular generative AI models of 2025, including GPT-4o, Claude 3, Sora, Midjourney, Suno, and more. Discover the best LLMs for creating text, images, video, and music.
• Model Context Protocol - MCP Architecture OverviewJun 17, 2025. Explore the MCP (Model Context Protocol) architecture—an open-source standard enabling LLMs to interact with external tools and resources for scalable, flexible, and efficient AI application development and customization.
• Godel’s Scaffolded Cognitive Prompting for Autonomous Agent PlanningJun 17, 2025. Godel’s Scaffolded Cognitive Prompting (GSCP) enhances autonomous agents by enabling structured reasoning, dynamic goal planning, and self-evaluation, boosting reliability, adaptability, and transparency without modifying the underlying language model.
• Privacy and Data Leakage in Generative AI: Explained SimplyJun 16, 2025. Learn how generative AI models like ChatGPT and DALL·E handle your data, and what privacy risks or data leaks may occur. This beginner-friendly guide breaks down how AI training works, where data can leak, and how to protect yourself when using GenAI tools.
• Azure Front Door Architecture and Pricing ModelsJun 14, 2025. This article is all about what Azure AFD is, how it works, and its pricing aspect. Azure Front Door is a global, secure entry point offering load balancing, WAF, SSL offloading, and content acceleration. This guide explains its features, use cases, architecture, and pricing in detail.
• 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.
• Should We Build GenAI Solutions In-House or Adopt Existing Platforms?Jun 12, 2025. Deciding whether to build your own GenAI solution or leverage existing AI platforms? This guide breaks down the pros and cons of both approaches, helping engineering leaders choose the right path based on cost, speed, customization, and long-term value.
• Top 5 LLMs for EnterprisesJun 12, 2025. Discover the top 5 LLMs for enterprise development in 2025, including GPT-4 Turbo, Claude 3 Opus, Mistral, LLaMA 3, and Gemini—ideal for secure, scalable, and high-performance AI applications in business.
• How to Use Power Apps Grid Control in Model-Driven Apps for Inline Editing and Better UXJun 12, 2025. Learn how to use Power Apps Grid Control in Model-Driven Apps to enable inline editing, improve data entry speed, and enhance user experience with modern, responsive UI elements in Microsoft Power Platform.
• Intro to Diffusion Models for Image and Video GenerationJun 09, 2025. Diffusion models generate images and videos by reversing noise step-by-step, enabling tools like Sora and Stable Diffusion to transform text into stunning, high-quality visuals using learned patterns.
• I Allowed a Private Tailored LLM to Manage My Healthcare Company for 30 Days — Here's What OccurredJun 09, 2025. An experiment in healthcare administration using a private generative AI model streamlined operations, improved compliance, and boosted productivity, transforming back-office complexity into a new AI-driven infrastructure without compromising data privacy.
• XGBoost - Most Accurate Modeling Technique for Structured DataJun 09, 2025. Explore gradient boosting and XGBoost in this article, learn how ensemble models work, build prediction models in Python, and optimize performance with parameter tuning and early stopping techniques.
• Data Privacy and Security in Generative AI ApplicationsJun 08, 2025. Generative AI is powerful but risky. Learn how to protect data, avoid security threats like model inversion and prompt injection, and stay compliant with GDPR, HIPAA, and other privacy laws.
• 📃 Text Summarization with T5 and Hugging Face TransformersJun 06, 2025. Learn how to build a text summarizer with T5 and Hugging Face. Step-by-step Python tutorial with code, Gradio interface, and fine-tuning tips.
• 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.
• DistilBERT, ALBERT, and Beyond: Comparing Top Small Language ModelsJun 04, 2025. In this article, we’ll compare several leading SLMs including DistilBERT, ALBERT, TinyBERT, MiniLM, and newer entrants released in 2024–2025.
• What is a Transformer Model?May 30, 2025. A Transformer is a deep learning model architecture designed to handle sequential data, such as text, by using mechanisms called self-attention and positional encoding instead of relying on recurrence like LSTM or GRU models.
• Django Web Framework Model Class with ExampleMay 29, 2025. Learn how Django's Model class works with simple examples. Understand how to define data structures, interact with databases, and build dynamic web apps using Django ORM in Python.
• Understanding the Difference Between NLP and LLMMay 29, 2025. In the age of artificial intelligence, our ability to communicate with machines in natural language has opened new frontiers in how we search, create, and interact with data. At the heart of this transformation are two key technologies: Natural Language Processing (NLP) and Large Language Models (LLMs).
• Understanding the Mathematics Behind Machine LearningMay 25, 2025. Explore how linear algebra, calculus, and PCA form the mathematical foundation of machine learning—powering data representation, model optimization, dimensionality reduction, and the development of intelligent, efficient algorithms.
• What are Good Use Cases for Integrating LLMs into Our Own Products?May 24, 2025. Discover high-impact use cases for integrating Large Language Models (LLMs) into your products or platforms. Learn how GenAI can enhance healthcare, finance, and education applications through smart assistants, automation, and personalized user experiences.
• Using RAG architecture for generative tasksMay 22, 2025. This article explores using Retrieval Augmented Generation (RAG) with LLMs to create artistic text, combining personal datasets, prompt engineering, and synthetic data for more relevant, high-quality poetic output.
• Private AI for Fintech: How PT-SLMs Enable Scalable and Secure IntelligenceMay 22, 2025. Private Small Language Models (PT-SLMs) empower fintechs with secure, compliant, and scalable AI, ensuring privacy, integration, cost control, and real-time decisioning without relying on public LLM APIs.
• What can ChatGPT doMay 20, 2025. ChatGPT is an advanced AI tool that generates human-like text, translates languages, writes code, emails, and creative content. It helps businesses and individuals with communication, marketing, and problem-solving tasks efficiently.
• The Rise of GenAI and Ethical ConcernsMay 20, 2025. Ethical GenAI development demands transparency, fairness, and privacy protection. As technology evolves, balancing innovation with regulation is vital to prevent bias, safeguard data, and ensure responsible, inclusive AI for all.
• How Efficiently Does a Deep Learning Model Utilize Its MemoryMay 20, 2025. Discover how efficiently deep learning models utilize memory during training and inference. Explore key factors like batch size, model architecture, and GPU usage.
• Prompt Engineering is the New Coding: Essential Skills for the AI SectorMay 20, 2025. Prompt engineering is emerging as a vital skill, enabling individuals across industries to effectively interact with AI, enhance productivity, ensure accuracy, and unlock new career opportunities in the AI-driven workplace.
• AI Can Reliably Provide Production-Quality Code — But Only with a Private Tailored Small Language Model (PT-SLM)May 20, 2025. Private Tailored Small Language Models (PT-SLMs) deliver secure, compliant, and context-aware code for enterprises. Unlike public models, they ensure production-ready outputs through customization and effective prompt engineering.
• The Rise of PT-SLMs: Why Bigger Isn't Always BetterMay 20, 2025. Private Tailored Small Language Models (PT-SLMs) offer businesses cost-effective, secure, and domain-specific AI solutions, delivering better performance, privacy, and precision than massive, general-purpose language models.
• 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.
• PT-SLMs and Data-Driven Business Enablement: Establishing Stable AI ModelsMay 18, 2025. Explore how PT-SLMs (Prompt-Tuned Small Language Models) empower data-driven business enablement by establishing stable, efficient, and scalable AI models.
• ⚠️ What Are the Risks of Exposing Internal Data to AI Models?May 18, 2025. This article explores the key risks of exposing proprietary code and internal data to AI models, including potential data leakage, IP loss, compliance violations, and security threats. It also provides actionable steps organizations can take to safely and securely integrate AI tools into their workflows.
• Why GenAI LLM Models Fail in Business but PT-SLMs ExcelMay 17, 2025. Many GenAI LLMs struggle in business due to high costs, slow performance, and a lack of domain focus.
• Combining and Merging Datasets with PT-SLMs for BusinessMay 16, 2025. Private Tailored Small Language Models (PT-SLMs) help businesses unify complex datasets by understanding context and semantics, reducing manual work, improving data accuracy, and enabling smarter analytics and decision-making.
• Event-Driven CQRS with C# 14 and the SQL Outbox PatternMay 15, 2025. Learn how to implement a reliable event-driven CQRS microservice using the SQL Outbox Pattern with C# 14. Ensure strong consistency, transactional event publishing, and fail-safe asynchronous processing for scalable distributed systems.
• Don't Let Gen AI Lead Your Business to Fail– The Answer is PT-SLMsMay 15, 2025. Discover why generic AI models fall short for businesses and how Private Tailored Small Language Models (PT-SLMs) offer secure, efficient, and domain-specific alternatives for smarter, safer AI adoption.
• How Would You Architect a Chatbot Using a Large Language ModelMay 15, 2025. This article explains the basic steps to get started with creating a chatbot using a large language model.
• Advanced Data Warehouse Modeling and Querying Using C# and .NET 9May 13, 2025. Use C# 14 and .NET 9 to design, query, and manage data warehouses efficiently. Automate schema creation, support SCD Type 2, integrate with BI tools, and run high-performance queries for real-time analytics.
• How does ChatGPT work?May 12, 2025. ChatGPT works by predicting the next word in a sentence using a large neural network trained on massive amounts of text data, allowing it to generate human-like responses.
• ASI and the Future of Human Work: Redefining and Reinventing Instead of ReplacingMay 12, 2025. Artificial Superintelligence (ASI) redefines work, enhancing human capabilities through augmentation rather than replacement. It fosters creativity, strategic thinking, and innovation while enabling ethical, human-centered progress.
• How to Use AI PT-SLM (Private Tailored Small Language Models) in the Pharmaceutical IndustryMay 05, 2025. PT-SLMs offer secure, on-premises AI tailored for pharma, enhancing drug discovery, clinical trials, compliance, and patient support while protecting sensitive data and ensuring regulatory adherence.
• How to Use Private Tailored Small Language Models (PT-SLM) to Transform Core Banking FeaturesMay 02, 2025. Private Tailored SLMs (PT-SLMs) enhance core banking with secure, on-premises AI, automating transactions, loans, and payments while preserving data privacy and ensuring regulatory compliance.
• Artificial Intelligence and Private Tailored Small Language Model (PT-SLM) Solutions for Education AdministrationMay 01, 2025. Private Tailored Small Language Models (PT-SLMs) bring secure, efficient, and context-aware AI to educational administration, enabling automation, improved decision-making, and enhanced stakeholder experiences.
• Vibe Coding and Private Tailored Small Language Model (PT-SLM) Solutions in Education AdministrationMay 01, 2025. Discover how Vibe Coding and Private Tailored Small Language Model (PT-SLM) solutions are transforming education administration with personalized AI tools, streamlining workflows, enhancing decision-making, and improving student and faculty engagement through secure, custom AI models.
• The Rise of Open-Source AI: Why Models Like Qwen3 MatterMay 01, 2025. Discover the real benefits and challenges of open source AI models like Qwen3 through practical insights, examples, and beginner-friendly explanations.
• Master Vibe Coding with These 6 Essential Skills for Building Better AI ApplicationsApr 30, 2025. Master the art of AI app development with six essential coding skills—from logical thinking and prompt engineering to debugging, version control, and building MVPs. Code smarter, iterate faster, and level up your vibe.
• Qwen3: Think Deeper, Act Faster with Open ModelsApr 30, 2025. Explore the power of Qwen3 models—Qwen3-235B-A22B, Qwen3-30B-A3B. See how they think deeper, act faster, and help you build smarter AI applications with ease.
• How Artificial Intelligence is Transforming the Future of LongevityApr 29, 2025. AI is transforming longevity science through drug discovery, biomarker detection, personalized medicine, clinical trials, and public health, helping extend healthspan and optimize aging interventions.
• Create an Amazon Kendra Gen AI index with OneDriveApr 29, 2025. Learn how to create and configure an Amazon Kendra GenAI index using Microsoft OneDrive as a data source to enable powerful LLM-based semantic search with natural language understanding and precise results.
• Akka.NET is the Best Choice for Reactive Systems in C# .NET 9Apr 26, 2025. Build responsive and resilient applications using Akka.NET in .NET 9. Leverage the actor model to create scalable, fault-tolerant, message-driven systems with ease—ideal for real-time services, microservices, and high-throughput apps.
• Docker MCP: Simplifying AI Tool Discovery and SecurityApr 26, 2025. Docker's MCP Catalog and Toolkit simplify AI tool discovery, security, and integration. By centralizing tools, containerizing them, and ensuring built-in security, Docker makes it easier for developers to connect AI agents with trusted tools.
• Private Tailored Small Language Models (PT-SLMs) in Investment Banking: Usage Scenarios and AdvantagesApr 19, 2025. As artificial intelligence continues to evolve, investment banks are actively integrating AI-driven solutions to gain a competitive edge, optimize operations, and manage risk more effectively.
• Power of Private Tailored Small Language Models (PT-SLMs) in Commercial BankingApr 18, 2025. Private Tailored Small Language Models (PT-SLMs) empower commercial banks with secure, efficient AI solutions. They enable personalized automation, faster decision-making, and compliance-ready insights—while keeping sensitive financial data private and models lightweight.
• Advantages of Private Tailored Small Language Models for Retail BankingApr 17, 2025. Private small language models offer retail banks enhanced security, faster response times, and tailored customer experiences. These models ensure data privacy, support regulatory compliance, and provide cost-effective, domain-specific AI solutions.
• AI’s Fatal Flaw: The Dark Side of OverfittingApr 16, 2025. This article explores how overfitting compromises accuracy, leads to poor generalization, and reveals the darker implications for decision-making in critical AI systems.
• Build a Product Info Chatbot Using OpenAI and RAG ModelApr 08, 2025. Build a powerful AI chatbot using OpenAI GPT and RAG to deliver real-time, accurate product information. Enhance user experience, reduce support tickets, and boost conversions in your e-commerce platform.
• Transforming Data Insights with Snowflake's LLM Functions– Part 1Apr 07, 2025. In this article, I will cover the capabilities of Snowflake Cortex’s Large Language Model (LLM) function which can be utilize for variety of task such as sentiment analysis, text completion and language translation.
• Incorporating AI in SaaS and Cloud Platforms: A Business Perspective with Private Tailored Small Language ModelsApr 03, 2025. Artificial intelligence (AI) is transforming the landscape of Software as a Service (SaaS) and cloud platforms, ushering in a new era of digital service delivery and user experience.
• Getting Started with Docker's new CLI Model RunnerApr 02, 2025. Learn how to install, configure, and use Docker Model CLI to run AI models effortlessly. A beginner-friendly guide with hands-on examples!
• Docker Introducing the New CLI Model RunnerMar 31, 2025. Discover Docker Model Runner, a game-changing feature for running AI models locally with GPU acceleration—no cloud required. Fast, efficient, and beginner-friendly.
• Integrating Java with QA Automation: Selenium WebDriver TestingMar 28, 2025. Java and Selenium WebDriver offer a robust foundation for QA automation, enabling scalable, maintainable, and efficient testing. Implementing best practices ensures a high-quality software delivery process.
• Understanding the Page Object Model (POM) in Test AutomationMar 28, 2025. The Page Object Model (POM) enhances test automation by improving maintainability, readability, and scalability. Implementing POM with best practices ensures efficient and reliable UI testing.
• Implementing Multi-Modal AI: Combining Text, Image, and Speech Models on AzureMar 19, 2025. ?Azure's multi-modal AI integrates text, image, and speech processing, enabling developers to create intelligent, context-aware applications. This fusion enhances accuracy, user experience, and cross-domain functionalities.
• Automating AI Model Testing & Validation with Azure ML PipelinesMar 14, 2025. Automating AI model testing and validation with Azure ML Pipelines streamlines the ML workflow, ensuring accuracy and reliability. This approach enables automated data preprocessing, model training, evaluation, and deployment.
• Migrate Azure Function from In Process to Isolation ModelMar 06, 2025. Migrating Azure Functions from the in-process model to the isolated worker model is crucial to ensure compatibility with future .NET versions and leverage enhanced flexibility and control over your application's lifecycle. Microsoft has announced that support for the in-process model will end on November 10, 2026, making it imperative for developers to transition to the isolated worker model.
• Deploying Open-Source AI Models on Azure Kubernetes Service (AKS)Mar 05, 2025. Deploying open-source AI models on Azure Kubernetes Service (AKS) enables scalable, containerized AI workloads.
• Secure AI Model Deployment with Azure Confidential ComputingFeb 27, 2025. Azure Confidential Computing provides a secure environment for AI model deployment by leveraging hardware-based Trusted Execution Environments (TEEs) like Intel SGX and AMD SEV.
• 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.
• How do the Pricing Models of AWS and Azure Compare?Feb 06, 2025. AWS and Azure offer cloud services with different pricing models. Both use pay-as-you-go, reserved, and spot pricing. AWS has EC2, S3, and pricing calculators, while Azure offers VMs, Blob Storage, and Microsoft integration benefits.
• Create a Gen AI App Using DeepSeek-R1 model With Langchain And OllamaFeb 02, 2025. Create a Gen AI App Using the DeepSeek-R1 model With Langchain And Ollama. This article guides you in building a GenAI app using DeepSeek-R1, Langchain, and Ollama. It covers installation, model setup, prompt chaining, and real-time AI response generation with Streamlit UI integration.
• Qwen2.5-Max: How MoE Models Are Unlocking Smarter AIFeb 02, 2025. Discover how Qwen2.5-Max’s Mixture of Experts architecture revolutionizes AI efficiency, accuracy, and real-world problem-solving—and why it matters to you.
• Understanding of Data Models with APIs in CosmosDB Using C# Jan 30, 2025. Azure Cosmos DB supported multiple data models and APIs. Cosmos DB provides a variety of data models, APIs, tools and flexibility needed to deliver robust, scalable solutions.
• Integrate GPT Models with Azure OpenAI ServiceJan 18, 2025. Learn to set up Azure OpenAI Service: create an account, request access, deploy resources, obtain API keys, explore models like GPT-4, integrate via APIs, test, monitor usage, and scale for powerful AI-driven applications.
• Implementing AI Model Distillation for Faster Inference on Azure MLJan 09, 2025. Learn how to implement AI model distillation on Azure ML to achieve faster inference and improved efficiency. Discover techniques for model compression, knowledge transfer, and optimizing neural networks for cloud and edge AI.
• Reducing AI Model Latency Using Azure Machine Learning EndpointsJan 01, 2025. Learn how to reduce AI model latency using Azure Machine Learning Endpoints for faster inference and improved performance. Discover techniques like model optimization, scalable deployment, and real-time processing to ensure low-latency AI applications in the cloud or at the edge.
• 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.
• Implementing Responsible AI using PythonDec 16, 2024. This article covers Python libraries, frameworks, and techniques for building AI models that prioritize accountability, explainability, and compliance with AI governance standards.
• Clone Your Voice Using Open-Source LLMDec 15, 2024. Learn how to clone your voice using open-source large language models (LLMs). This guide explores cutting-edge AI tools for voice synthesis, allowing you to create realistic voice replicas.
• Fine-Tuning Azure OpenAI Models with Domain-Specific DataDec 12, 2024. Learn how to fine-tune Azure OpenAI models with domain-specific data to enhance performance for industry-specific applications.
• Building a GPT-Based Language Model in C#Dec 09, 2024. In the world of AI, transformers have revolutionized the way we approach natural language processing (NLP) tasks. At the heart of these advancements is the GPT (Generative Pre-trained Transformer) architecture, which powers some of the most impressive AI applications today.
• Introduction To Flexbox: A Powerful Layout ModelDec 05, 2024. Flexbox, short for Flexible Box Layout, is a modern CSS layout model that simplifies web design by providing powerful tools for alignment, spacing, and responsiveness.
• Set Up Hugging Face API for Open Source LLM in Copilot StudioNov 21, 2024. In this article, we will learn the steps to configure, implement, and test Hugging Face models, empowering developers to enhance AI-driven workflows and unlock the potential of LLMs in real time.
• Introduction To Minimal API using ASP.NET Core 8Nov 21, 2024. Minimal API in .NET Core 6.0 simplifies the process of creating HTTP APIs by reducing code verbosity and dependencies. It is ideal for microservices, offering advantages like lightweight routing, improved performance, and accelerated development.
• Open-Source AI Models Gain Traction and Outperform Closed ModelsNov 17, 2024. Open-source AI models offer startups flexibility, innovation, and cost-efficiency, enabling faster market adoption. They allow for customization, collaboration, and transparency, providing a competitive advantage over closed models.
• AI Hallucinations: Understanding Causes and Mitigation StrategiesNov 15, 2024. This article explores the causes behind these hallucinations, such as training data issues and model limitations, and offers strategies to mitigate them, enhancing AI accuracy, reliability, and trustworthiness.
• Deploying ASP.NET Core 9 Application on IISNov 14, 2024. Learn how to publish ASP.NET Core 9 applications on IIS. This guide covers key steps such as setting the correct target framework, configuring IIS settings, handling common errors like 503, and using the app_offline.htm file for maintenance mode.
• Transform Weak Models into Powerhouses with Model DistillationNov 13, 2024. This article explains how to take your underperforming AI models and supercharge them using the cutting-edge technique of model distillation.
• Difference Between Large Language Model & Small Language ModelNov 11, 2024. Large and small language models differ primarily in scale, resources, and use cases. Large models, with billions of parameters, excel in generalization and diverse tasks but require significant computational power and come with high costs.
• Create a Model with Database Table in .NET 8 using EF CoreOct 28, 2024. This article guides you through creating a data-driven application using .NET 8 and Entity Framework Core. You'll learn to define a model, configure a DbContext, set up a SQL Server connection string, and use migrations to manage your database schema.
• Introduction to Power BI: A Beginner's GuideOct 22, 2024. Power BI is a powerful business analytics tool from Microsoft designed for data visualization and sharing insights across organizations. This beginner-friendly guide covers its key components, including Power BI Desktop, Service, and Mobile.
• Creating Explainable AI Models with Azure Machine Learning Interpretability SDKOct 18, 2024. Learn how to create explainable AI models using the Azure Machine Learning Interpretability SDK. This article explores techniques like SHAP, LIME, and feature importance to improve AI transparency, detect bias, and enhance model fairness.
• Resume Processing with Azure Document Intelligence Studio, .NET and AngularOct 14, 2024. Imagine you’re a recruiter swimming in a sea of resumes. It’s overwhelming, right? Enter our hero: a custom model that simplifies the job by automatically extracting all the important bits from resumes and presenting them neatly.
• The OSI Model: Exploring the Seven Layers of NetworkingOct 12, 2024. The OSI model is a framework that standardizes network communication into seven layers, facilitating interoperability, troubleshooting, and consistent practices across different networks and protocols, even as modern Internet usage leans towards the simpler TCP/IP model.