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• How to Evaluate LLMs? Sep 15, 2025. Unlock the power of Large Language Models (LLMs) with our comprehensive guide! Learn how to evaluate LLMs for accuracy, safety, speed, cost-effectiveness, and more. Discover essential metrics and testing methods to ensure your chosen LLM is reliable, ethical, and perfectly aligned with your business goals. Make informed decisions and build trustworthy AI systems.
• Ollama API: A Complete Guide to Local AI with Generate, Embeddings & Model ManagementSep 15, 2025. This article provides a complete walkthrough of using Ollama to run LLMs like LLaMA and Mistral on your machine. Learn to generate text, create embeddings, manage models, and build private AI applications without cloud dependencies. Explore key endpoints like /api/generate, /api/embeddings, and more for total control.
• Seedream 4.0: ByteDance’s Unified AI Model for Image Generation and EditingSep 15, 2025. Explore Seedream 4.0, ByteDance’s advanced AI model that unifies image generation and editing. Learn features, workflows, multi-reference controls, and enterprise use cases.
• IndiaAI Mission 2024–2030: Key Initiatives & Global RoleSep 13, 2025. Explore the IndiaAI Mission—budget, AIKosha datasets, compute infra, and startup support. Learn how it drives ethical AI and leads to IndiaAI Summit 2026.
• AI in Financial Services on Azure: Risk Modelling and Fraud Detection at ScaleSep 12, 2025. Discover how Azure AI empowers financial institutions to revolutionize risk modeling and fraud detection at scale. Learn how machine learning, anomaly detection, and interpretability tools enhance security, compliance, and customer trust. Explore real-time analysis, scalable compute, and strategic advantages for modernizing financial operations and unlocking new growth opportunities with Azure's robust platform.
• Artificial Intelligence - First Data Modeling for E-Commerce: From Carts and Catalogs to Intelligent, Trustworthy MarketplacesSep 13, 2025. This article outlines an AI-first blueprint for modern digital retail, moving beyond traditional models to personalize experiences, optimize margins, and ensure privacy. Learn how to build intelligent marketplaces with explainable AI, real-time data, and robust governance for trustworthy automation.
• Extending Existing LLMs with Ollama’s Modelfile: A Practical GuideSep 13, 2025. This article shows you how to extend existing models like Llama2 and Gemma with custom system prompts, parameters, and domain-specific knowledge. Create specialized AI assistants and chatbots quickly and efficiently, tailoring LLMs to your exact needs. Learn best practices for optimal performance and version control.
• What is Retrieval-Augmented Generation (RAG)?Sep 12, 2025. This AI technique blends information retrieval with text generation, ensuring accurate, up-to-date, and reliable AI responses. Discover how RAG enhances chatbots, search engines, and more across healthcare, education, and business, grounding AI in factual truth for superior performance.
• What is LLMOps, and how is it different from MLOps?Sep 12, 2025. Understand the crucial differences between MLOps and LLMOps! MLOps manages traditional machine learning models, focusing on structured data and retraining. LLMOps tackles large language models like GPT, emphasizing prompt engineering, fine-tuning, cost optimization, and handling unstructured text.
• Important Network Protocols by OSI LayersSep 11, 2025. Demystify network communication with this guide to OSI model layers and their protocols! Explore how data travels from physical signals to application services, covering Ethernet, IP, TCP, HTTP, and more. Essential for IT students, network engineers, and anyone seeking to understand the internet's inner workings and ensure smooth, secure, and reliable data transfer.
• Top Tools and Platforms for VR DevelopmentSep 11, 2025. Explore the essential tools and platforms driving the virtual reality revolution. From game engines like Unity and Unreal Engine to 3D modeling software and specialized VR development kits, discover the technologies that empower developers to create immersive experiences. Learn about hardware SDKs, collaboration platforms, and testing environments for building and deploying VR applications across various industries and platforms like Meta Quest and PlayStation VR.
• Why Explicit Tokenization is Required in Hugging Face but Not in OllamaSep 11, 2025. Confused about tokenization differences between Hugging Face and Ollama? This article clarifies why Hugging Face (local) requires explicit tokenization while Ollama handles it implicitly. We explore how Hugging Face's online API also abstracts tokenization, comparing the platforms and their user experiences. Understand the 'who, what, and how' of tokenization in LLMs for seamless model integration.
• Difference Between Switch and RouterSep 09, 2025. Understand the core differences between routers and switches in networking. Routers connect different networks, operating at Layer 3 of the OSI model, using IP addresses to find the best data path. Switches connect devices within the same network at Layer 2, using MAC addresses for efficient data transfer.
• Artificial Intelligence: Why Enterprise Large Corporates Hire Prompt Engineers — And What They Actually DeliverSep 09, 2025. Discover why large enterprises are hiring prompt engineers to maximize their AI investments. Learn how these specialists optimize LLM usage, ensure compliance, build reusable prompt libraries, and train employees. Explore real-world examples across industries and understand the future of prompt engineering as a crucial governance function for AI-powered business systems.
• Why AI Models Hallucinate — And the Best Approaches to Solve ItSep 09, 2025. AI hallucinations are a major hurdle for enterprise adoption. This article explores the root causes, from statistical guesswork to data limitations, and presents seven practical solutions. Learn how Retrieval-Augmented Generation (RAG), knowledge graphs, structured prompting, and human oversight can mitigate risks and build trustworthy AI systems.
• The Transformer Model Architecture in LLMSep 09, 2025. Unlock the power of Large Language Models (LLMs) by understanding the Transformer architecture! This article breaks down the core components: embeddings, encoder, and decoder. Learn how Transformers process text, create contextual understanding, and generate human-quality responses. Explore different Transformer types like BERT, GPT, T5, and BART, and their unique applications in NLP.
• Model Binding and Model Validation in ASP.NET Core MVC?Sep 09, 2025. Unlock the power of ASP.NET Core MVC with Model Binding and Model Validation! Learn how to automatically map HTTP request data to your models and ensure data integrity. Discover how data annotations and custom validation logic streamline development, reduce boilerplate code, and enhance user experience. Master form handling and data validation in ASP.NET Core MVC.
• What’s the Future of Prompt Engineering with GPT-5 and Beyond?Sep 07, 2025. Is prompt engineering here to stay with GPT-5 and future AI models? Explore how evolving LLMs will change the role of prompt engineers, from creative design to system integration and ethical AI development.
• What Skills Are Required for a Prompt Engineer Interview?Sep 07, 2025. Discover the essential skills required to succeed in a prompt engineer interview — from LLM fundamentals to problem-solving, creativity, and ethical AI practices. Perfect for candidates preparing for AI and machine learning roles.
• Effective Prompt Engineering: Best Results at the Best CostSep 07, 2025. Optimize your prompt engineering for maximum impact and minimal cost! This guide outlines a lean, repeatable pipeline using techniques like outcome-first design, strategic model selection, token discipline, and schema-driven outputs. Learn to draft, verify, and escalate prompts efficiently, reducing spend and improving results.
• How Do You Benchmark Prompt Performance Across Models?Sep 06, 2025. Learn how to benchmark prompt performance across models like GPT-5, GPT-4, Claude, Gemini, and LLaMA. Discover evaluation metrics, frameworks, and best practices to compare outputs effectively.
• Artificial Intelligence: AI-First Data Modeling for Health Care: From EHR Tables to Learning, Patient-Safe SystemsSep 05, 2025. Transform healthcare data modeling with an AI-first approach! This article outlines a blueprint for building patient-safe systems that leverage facts, features, and AI agents. Learn how to productize data, ensure traceability, and implement AI for early detection, medication safety, and streamlined workflows, all while prioritizing privacy and compliance.
• Generative AI Interview Questions and Answers (2025 Edition)Sep 05, 2025. Ace your 2025 Generative AI interview! This guide provides expert answers to common questions covering fundamentals, architectures (transformers, GPT, BERT, RAG), ethics, deployment, and emerging trends like multimodal AI and RLHF. Master prompt engineering, bias mitigation, and production challenges to stand out. Prepare for questions on hallucinations, watermarking, and scaling GenAI systems. Learn the skills needed to excel in this rapidly evolving field. Get ready to build the future!
• Google Unveils EmbeddingGemma: A Best-in-Class Open Model for On-Device EmbeddingsSep 05, 2025. Google introduces EmbeddingGemma, a groundbreaking open-source embedding model with only 300M parameters. This compact model excels in retrieval-augmented generation (RAG) and boasts top performance on the MTEB leaderboard for multilingual text embeddings under 500M. Ideal for on-device AI, it integrates seamlessly with Ollama, llama.cpp, and LM Studio, empowering developers to build efficient, privacy-focused AI applications.
• Building Gradio MCP Servers: A Practical GuideSep 04, 2025. Gradio can expose MCP tools from standard Python apps with one flag.
• What Is MVC in Web DevelopmentSep 04, 2025. Unlock the power of MVC (Model-View-Controller) in web development! This guide breaks down the MVC architecture, explaining how it separates data (Model), presentation (View), and control (Controller) for cleaner, more maintainable, and scalable applications. Discover the benefits, limitations, and real-world examples of MVC frameworks like ASP.NET MVC, Spring MVC, and more. Master this essential pattern for building robust web applications.
• Artificial Intelligence: AI-First Data Modeling for Manufacturing. From BOMs to Intelligent, Self-Optimizing Factories Executive SummarySep 03, 2025. Reimagine manufacturing with an AI-first data model! Transform classic BOMs into intelligent, self-optimizing factories. This article details a blueprint where data fuels AI, driving improvements in yield, OEE, and margin. Learn about lakehouse architecture, digital twins, and LLM integration for governed, explainable AI in manufacturing.
• Generative AI: AI-First Data Modeling for Telecommunications. From OSS/BSS Tables to Intelligent, Self-Healing NetworksSep 03, 2025. Transform telecom data models for the AI era! This article outlines an AI-first blueprint, moving beyond traditional OSS/BSS to leverage modern networks (5G, ORAN) for intelligent automation. Discover how to build self-healing networks with governed data loops, proactive assurance, and superior customer experiences.
• Artificial Intelligence: Why Modern LLMs Like GPT Are Decoder-OnlySep 02, 2025. Explore why decoder-only architectures, like those in GPT, LLaMA, and Mistral, dominate modern Large Language Models (LLMs). Discover the advantages of autoregression, scalability, and efficiency in generative tasks. Understand how decoder-only models handle translation and summarization without encoders, and why this design is the future of AI for chatbots, coding, and reasoning.
• LLMs: Why Modern LLMs Like GPT Are Decoder-OnlySep 02, 2025. Explore why modern Large Language Models (LLMs) like GPT, LLaMA, and Mistral overwhelmingly favor decoder-only architectures. Discover the advantages of autoregressive training, scalability, and efficiency in generative tasks. Learn how decoder-only models achieve broad generalization and emergent abilities, making them ideal for chatbots, coding assistants, and more. Understand the differences between decoder-only and encoder-decoder models and their respective use cases in the evolving landscape of AI.
• Mastering Prompt Engineering: Turning Ideas into ResultsSep 02, 2025. Unlock the power of AI! Learn prompt engineering: the art of crafting precise instructions for AI to achieve desired outcomes. This guide provides real-world examples and actionable tips to transform vague ideas into targeted results. Master the skill that bridges human intent and AI capability, from writing emails to coding assistance.
• What is Nano Banana? Google’s Gemini 2.5 Flash Image AI for Image EditingAug 30, 2025. Discover Nano Banana (Google’s Gemini 2.5 Flash Image) — an advanced AI model for image generation and editing. Learn features, pricing, use cases, and how to use it via API.
• Generative AI: AI-First Data Modeling for Financial Services: From Reference Models to Intelligent Data ProductsAug 31, 2025. Evolve financial data models for AI! Learn how to transform reference models into governed data products powering real-time analytics, ML, and LLM workflows.
• Artificial Intelligence: AI-First Data Modeling for Professional Services: From Projects to Intelligent EngagementsAug 31, 2025. Transform professional services with AI-first data modeling. Drive intelligent engagements, boost win rates, and ensure transparency. Unlock efficiency and client trust.
• What is Internetworking in Networking?Aug 29, 2025. Explore internetworking in networking: connecting diverse networks (LANs, WANs) for seamless communication and resource sharing. Learn about devices and examples.
• Difference Between OSI Model and TCP/IP ModelAug 29, 2025. Explore the OSI and TCP/IP models, the backbones of computer networking. Understand their layers, differences, similarities, and real-world applications. Learn how data flows!
• Explain the 7 Layers of the OSI Model?Aug 29, 2025. Demystifying the OSI Model: Explore its 7 layers (Physical, Data Link, Network, Transport, Session, Presentation, Application) and their functions for network communication.
• What is the “Harvest Now, Decrypt Later” Threat Model? 🕵️‍♂️⏳🔓Aug 29, 2025. Understand the "Harvest Now, Decrypt Later" (HNDL) threat: how adversaries are collecting encrypted data today to decrypt it with future quantum computers. Learn how to defend against it!
• Document Object Model (DOM) in JavaScript?Aug 29, 2025. Unlock the power of the DOM! Learn how JavaScript uses the Document Object Model to dynamically manipulate web pages, creating interactive user experiences.
• 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.
• Renting GPT vs. Building Your Own AI: The True Cost of ChatbotsAug 28, 2025. Renting GPT vs. building a custom AI chatbot: Explore the true costs, including data integration, infrastructure, and long-term maintenance. Make the right choice!
• Generative Artificial Intelligence: A Practical Playbook to Earn Real Money with Generative AIAug 28, 2025. Monetize GenAI: Practical guide to building profitable AI services/products in 30-60 days. Includes business models, niches, offers, and pricing strategies.
• Automated Threat Modeling: Integrating Security Design into Agile DevelopmentAug 25, 2025. Threat modeling is a structured approach to identifying and mitigating potential security risks in a system. It involves analyzing the architecture, data flows, and components of an application to uncover vulnerabilities and design flaws before they can be exploited. The goal is to proactively address security concerns during the design and development phases.
• Power Apps – Manage Public System Views with Security RoleAug 25, 2025. Microsoft has been continuously enhancing Power Apps and the overall Power Platform experience for both makers and administrators. One of the latest improvements that went generally available (GA) on August 15, 2025, is the ability to manage access to public system views using security roles.
• Introduction to Model Context Protocol (MCP)Aug 24, 2025. The Model Context Protocol (MCP) is an open standard that connects AI assistants to tools, data, and systems. Like a USB-C for AI, MCP streamlines integrations, enables workflows, and improves context-driven responses.
• Azure AI Studio: from idea to production without the dragAug 22, 2025. Azure AI Studio: from idea to production without the drag
• AI Without the Hype: What to Know, What to Ignore, What to DoAug 21, 2025. This guide helps organizations cut AI hype and focus on impact, emphasizing retrieval over memory, cost and latency discipline, human-in-the-loop, measurable metrics, and disciplined workflows for real-world results.
• How Crypto Economies Will Replace Old Financial ModelsAug 20, 2025. Discover how crypto economies are set to replace outdated financial systems. Learn why community ownership, transparency, and tokens like Sharp Token are creating a faster, fairer, and more inclusive future of finance.
• 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.
• LLM Observability: Why It Matters and How to Implement ItAug 19, 2025. Discover what LLM observability is, why it’s critical for building reliable AI systems, and practical approaches for monitoring, debugging, and improving large language models in production.
• Generative AI: Creating Content with Smart AlgorithmsAug 19, 2025. Generative AI creates new content from text, images, music, and 3D designs using models like GANs and transformers. It boosts creativity, personalization, and efficiency across industries while raising ethical and bias concerns.
• Overfitting in AI: Why Data Governance Is the Key to Smarter, More Reliable ModelsAug 19, 2025. Overfitting threatens AI reliability, but integrated data and AI governance provide defense. From prevention to monitoring and compliance, governance frameworks ensure models remain accurate, fair, transparent, and resilient in real-world conditions.
• Why ReACT Prompting Is Obsolete — Use the GSCP Framework InsteadAug 19, 2025. GSCP surpasses ReACT by providing an adaptive, enterprise-ready AI prompting framework. It embeds reasoning, acting, observation, and governance, ensuring compliance, resilience, and smarter multi-strategy decision-making.
• 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.
• From Syntax to Semantics: Fine-Tuning NLP Models for Precision and PowerAug 18, 2025. Fine-tuning in NLP adapts large language models to specific tasks or domains using methods like full fine-tuning, prompt tuning, and LoRA, improving accuracy, efficiency, and real-world applicability.
• Generative AI : Transforming Industries, Benefits, and ChallengesAug 14, 2025. Discover how Generative Artificial Intelligence is revolutionizing industries in 2025. Learn what GenAI is, its real-world applications, key benefits, challenges, and the future of AI-driven creativity.
• Vibe Coding for Climate Tech: AI-Driven Environmental Modeling PipelinesAug 13, 2025. Vibe Coding revolutionizes climate action with real-time, multi-agent AI that unites global data, runs parallel simulations, and delivers actionable policy insights—empowering rapid, science-driven decisions for disaster response, sustainability, and planetary resilience.
• Which Vibe Coding Platform Supports OpenAI, Hugging Face, and Claude?Aug 12, 2025. Looking for a vibe coding tool that works with OpenAI, Hugging Face, and Claude? Here's a breakdown of the top platforms that support multiple LLM providers — no code required.
• Docker Model Runner: A Game Changer in Local AI Development (C# Developer Perspective)Aug 12, 2025. Docker Model Runner simplifies local AI development by providing a consistent, GPU-enabled environment to run, test, and integrate large language models with Docker. Perfect for fast prototyping and seamless AI app integration.
• Setup Ollama with Open WebUI With Docker in Local WindowsAug 12, 2025. Ollama lets you run large language models like Llama 3 locally on your machine for privacy and speed. Combined with Open WebUI’s chat interface, it makes managing and interacting with AI models easy and user-friendly.
• Building Enterprise-Grade GenAI: From Prompt Experiments to Cognitive-Scale LLM SystemsAug 12, 2025. Explore how Prompt-Oriented Development, PromptOps, and GSCP enable scalable, reliable GenAI products. Learn to transform prototypes into enterprise-grade LLM systems with governance, reasoning, and continuous delivery.
• Why GSCP Can Make a GPT-5-Class Model Smarter — Step by Step Aug 12, 2025. OpenAI’s GPT-5, paired with Gödel’s Scaffolded Cognitive Prompting, delivers adaptive, transparent, and verifiable reasoning—transforming raw AI power into governed enterprise cognition for accuracy, auditability, compliance, and continuous improvement in high-stakes tasks.
• Private Small Language Models (PSLM): The Future of Secure, Purpose-Built AIAug 11, 2025. Private Small Language Models (PSLMs) offer secure, efficient, and customizable AI solutions for specific domains. They provide fast, cost-effective performance while ensuring data privacy, ideal for industry-focused applications.
• How to Setup Ollama gpt-oss with Open WebUIAug 11, 2025. Learn to install and configure Ollama for running LLMs locally, ensuring privacy and offline use. This article covers setting up GPT-OSS:20b with Open WebUI using Docker for a self-hosted AI environment.
• Implementing Rag [Retrieval Augmented Generation] AIAug 11, 2025. Discover how emerging AI technologies are reshaping industries, boosting efficiency, and driving innovation. Explore real-world applications, benefits, and challenges to understand the true impact of AI in today’s world.
• What’s New in GPT-5: Features, Updates & Why It’s a Game-ChangerAug 10, 2025. Discover the latest GPT-5 features, improvements, and updates. Learn how OpenAI’s newest AI model delivers faster responses, smarter reasoning, multimodal capabilities, and advanced developer tools.
• Designing a Sales Data Mart from Scratch Using SQL and Dimensional ModelingAug 08, 2025. Learn to build a Sales Data Mart from scratch using SQL and Dimensional Modeling. Discover schema design, data population, and powerful queries for insightful business reporting and BI integration.
• What is the bias–variance tradeoff?Aug 08, 2025. Learn what the bias–variance tradeoff is, how it impacts the performance of AI models, and how to strike the right balance to build accurate and generalizable machine learning systems.
• What are Large Language Models (LLMs) Used for?Aug 08, 2025. Explore what large language models (LLMs) are and how they’re used in real-world applications. From chatbots to content creation, discover why LLMs are revolutionizing industries in 2025.
• What are Java Records, and how do they improve data modeling in Java?Aug 08, 2025. This article explores Java Records, a feature introduced in Java 14 and finalized in Java 16—and how they simplify and enhance data modeling. Learn what Records are, how they differ from traditional Java classes, their benefits in immutability, concise syntax, and real-world use cases, with clear examples.
• Why Prompt Engineering Is Critical for LLMs Like ChatGPT and ClaudeAug 07, 2025. Learn why prompt engineering is essential for unlocking the full power of large language models (LLMs) like ChatGPT, Claude, Gemini, and others. Understand its role in AI accuracy, reliability, and creativity.
• How Does JavaScript Interact with the DOM?Aug 07, 2025. Learn how JavaScript interacts with the DOM to create dynamic, responsive, and interactive web pages. A detailed guide with examples and best practices for modern developers.
• How Does GSCP Handle Conflicting Information from Different Sources?Aug 06, 2025. Gödel’s Scaffolded Cognitive Prompting (GSCP) introduces a multi-path reasoning framework that enables AI to intelligently detect, evaluate, and resolve conflicting information with transparency, improving factual accuracy and user trust.
• Dataverse Gets Smarter! Introducing Prompt Columns in Power PlatformAug 07, 2025. If you're working with Microsoft Power Platform, especially Dataverse, here’s a cool update you should know about – a new column type called "Prompt" is now available (in preview as of writing this post).
• GSCP: A Framework for Structured, Multi-Path Cognitive Prompting in Language ModelsAug 06, 2025. GSCP is a structured prompting framework for LLMs that enhances reasoning, accuracy, and tool integration using modular templates, self-verification, and multi-path strategies for enterprise-grade AI solutions.
• Common Pitfalls in Selenium Automation and How to Avoid ThemAug 05, 2025. This article highlights common Selenium automation mistakes like weak locators, hard-coded waits, and poor exception handling, offering best practices such as POM, explicit waits, and data-driven testing for robust, maintainable tests.
• Which Is Better, ChatGPT or Gemini?Aug 04, 2025. Wondering whether ChatGPT or Gemini is better for coding, API integration, or team workflows? This honest breakdown helps developers choose the right LLM.
• Measuring Unsupervised Model Performance: Metrics & Best PracticesAug 04, 2025. Learn how to evaluate unsupervised machine learning models without ground truth labels. Explore internal and external validation metrics, practical code examples, comparison tables, and guidelines for clustering, dimensionality reduction, and anomaly detection.
• Introduction to OllamaAug 04, 2025. Ollama is a local AI model runner that lets you download, run, and manage LLMs like LLaMA 3 directly on your machine. It supports offline use, fine-tuning, API integration, and privacy-focused AI development.
• Build and Deploy AI Apps Easily with Docker ComposeAug 04, 2025. Discover how to use Docker to simplify AI development with Compose, Build, and Deploy—perfect for beginners building smart, scalable apps.
• Cascading Private Tailored Small Language Models (PT-SLM) Using GSCP Framework: A Cost-Efficient Architecture for AccuraAug 04, 2025. AI cascade using PT-SLM and GSCP offers a modular approach to NLP by combining small, accurate models for complex tasks like document parsing and reasoning, improving scalability, accuracy, and control.
• When to Use Supervised vs. Unsupervised LearningAug 02, 2025. Discover when to choose supervised or unsupervised learning for your AI projects. Learn how data availability, project goals, and complexity drive your model selection, plus real-world examples and hybrid strategies.
• The Art and Science of Prompt Engineering: Techniques for Maximizing LLM PerformanceJul 31, 2025. Discover practical techniques and strategies to craft effective prompts that unlock the full potential of large language models (LLMs). This article explores the art and science behind prompt engineering for building smarter, more reliable AI solutions.
• Chapter 8: Introduction to the Document Object Model (DOM)Jul 30, 2025. Learn how the DOM allows JavaScript to interact with and manipulate web pages using nodes. This chapter covers element selection, modification, event handling, and dynamic content creation for interactive websites.
• 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:
• What is Generative AI?Jul 28, 2025. Explore what Generative AI is, how it works, its applications, benefits, limitations, and future potential. Learn about the technologies behind it, including LLMs, GANs, and more.
• Toward a Post-Predictive Paradigm in Language Modeling: Integrating GSCP with Neuro-Symbolic and Retrieval-Augmented ArchitecturesJul 28, 2025. This article explores a hybrid AI framework combining GSCP, neuro-symbolic reasoning, and RAG to overcome LLM limitations, enabling deeper understanding, transparency, and reliable reasoning in high-stakes applications.
• What Is an MCP Server? Jul 24, 2025. Learn what an MCP Server is, why it matters, and how it connects AI tools to your data. Understand its benefits, use cases, and how it works—all in clear, easy terms.
• Star Schema vs. Snowflake Schema – Which One Should You Use?Jul 24, 2025. When designing a data warehouse, choosing the right schema structure is crucial for performance, usability, and scalability. Two of the most commonly used schemas are Star Schema and Snowflake Schema. In this article, we’ll explore what each schema looks like, how they differ, and when you should use one over the other.
• How to Avoid Ponzi-Like Crypto Reward ModelsJul 24, 2025. Learn how to spot Ponzi-like crypto projects and why Sharp Token's transparent, circular economy stands out as a trustworthy model in the Web3 space.
• GPT-Image-1: The Next Evolution of Diffusion-Based Image GenerationJul 23, 2025. Explore GPT-Image-1, OpenAI’s next-gen image model that fuses diffusion with transformer-based conditioning. It delivers high fidelity, prompt consistency, and advanced multimodal capabilities for creation, editing, and visualization.
• Visualizing HTML Changes in Power Apps with a Custom React PCF ControlJul 22, 2025. Learn how to build a custom PCF control using React and an HTML diff algorithm in Power Apps to visually compare content versions, enhancing workflows like approvals, audits, and reviews.
• Designing a Scalable Schema in MongoDB: Real-World Patterns That Actually WorkJul 21, 2025. MongoDB gives you freedom, but that freedom comes with tradeoffs. Schema design in MongoDB isn’t about a strict structure. It’s about smart structure, based on how your app behaves.
• Which Models does CrewAI Support?Jul 17, 2025. CrewAI is fully model-agnostic, enabling you to plug in any foundation model—whether hosted in Amazon Bedrock or elsewhere—using standard protocols.
• Are Large Language Models Truly Intelligent? A Structural Critique of Next-Token Prediction ArchitectureJul 16, 2025. This paper critiques large language models’ next-token architecture, arguing they simulate but don’t possess true intelligence—lacking semantic grounding, reasoning, and intentionality—and explores pathways toward genuinely cognitive AI systems.
• GitHub Copilot: New Features Transform Developer WorkflowsJul 15, 2025. GitHub Copilot introduces powerful updates like Agent Mode, smarter chat, commit message generation, and .NET enhancements, transforming it into a true AI coding assistant for faster, context-aware development.
• Creating a Semantic Model in Microsoft Fabric WarehouseJul 15, 2025. Transform raw warehouse tables into business-friendly insights using semantic models in Microsoft Fabric Warehouse. Enable self-service analytics, Power BI integration, and centralized data modeling with ease.
• Resolving Hallucination in Large Language Models with GSCP (Gödel’s Scaffolded Cognitive Prompting)Jul 14, 2025. GSCP (Gödel’s Scaffolded Cognitive Prompting) enhances LLM reasoning by breaking down tasks, exploring alternatives, and verifying facts to reduce hallucinations and improve output accuracy and trustworthiness.
• Understanding Data Modeling in Power BI: Relationships, Keys & JoinsJul 14, 2025. Learn how to structure your Power BI data model using relationships, primary/foreign keys, and joins to unlock clean, insightful visualizations.
• Understanding .NET MVCJul 14, 2025. ASP.NET MVC is a web framework from Microsoft that uses the Model-View-Controller pattern to build clean, testable, and scalable web applications using C# and Razor.