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• Business Processes with Microsoft 365 Copilot AgentsSep 25, 2024. Copilot Agents are AI assistants in Microsoft 365 that automate business processes, ranging from simple interactions to advanced automation. They enhance efficiency, collaboration, and productivity by integrating organizational data and streamlining workflows.
• Configure Inherited Processes in Azure DevOpsMar 14, 2024. In this article we will discuss how we can configure inherited processes in Azure DevOps and use them in our projects. We will also discuss some use cases related to inherited processes.
• Optimizing Data Processes with Staging Areas in Business IntelligenceFeb 06, 2024. In the world of Business Intelligence (BI), a staging area or landing zone is an essential component. This article will discuss a use case to comprehend the issue that a staging arena solves, succeeded by an appreciation of its implementation and capabilities.
• Revolutionize Your Business Processes With These 7 AI ToolsFeb 10, 2023. In this article, you will learn how to revolutionize your Business Processes with These 7 AI Tools.
• How Do Enterprise-Level Applications Development Processes Work?Jul 13, 2021. Here I am telling about the enterprise-level applications development processes from requirements ready point via agile development aspects and common practices for large teams.
• Deciding Which Processes To AutomateJan 15, 2021. In this article, you will learn how to decide which processes to Automate.
• Manage System Processes Using Windows PowerShellJun 28, 2017. You can easily manage system processes using Windows PowerShell by just typing some simple Cmdlets. Below are some of the examples that help you to manage system processes using Windows PowerShell.
• Machine Learning Processes And ScenariosMay 31, 2017. Machine learning processes and scenarios. Things in machine learning are repeated over and over and hence machine learning is iterative in nature. Therefore, to know machine learning, one has to understand the machine learning process. The machine learning process is a bit tricky and challenging. It is very rare that we find the machine learning process easy.
• How to Avoid Running Two Processes Of The Same ApplicationNov 02, 2015. In this article you will learn how to avoid running two processes of the same application.
• How To List the Name of All Running Processes in C#Oct 02, 2014. In this article we will see how to print a list of all the running processes on a machine using C#.
• How a List of All Running Processes Is RetrievedApr 03, 2013. In this article you will learn how to retrieve a list of all running processes.
• Listing and Killing Processes with Visual BasicNov 09, 2012. This article provides a simple example of how to use the System.Diagnostics.Process library to display a list of running processes, and to select and kill processes by their process name and ID.
• Finding and Listing Processes in VB.NETNov 09, 2012. This article shall describe a very simple approach to finding out information regarding the processes currently running on a machine.
• Getting Processes From Process Explorer Using System.Diagnostics in C#Apr 28, 2012. In this Article we are going to see, How to Get the List of Process from the Process Explorer using System.Diagnostics in C#.
• Background Processes in ASP .Net Web ApplicationsOct 01, 2009. This article talks about various approaches of creating background processing in Web application using C#.
• Killing Processes From a Windows Form Application in C#May 01, 2008. This article provides you a simple example of how to use the System.Diagnostics.Process library to display a list of running processes, and to select and kill processes by their process name and ID.
• Finding and Listing Processes in C#Sep 10, 2007. This article shall describe a very simple approach for determining information regarding the processes currently running on a machine. The demonstration application includes a collection of methods that may be used to search for specific processes using various criteria or to list running processes.
• Get List of Processes in C#Sep 20, 2006. This application provides an interface where users can view local system's processes. The application is developed using Windows Forms and C#.
• What are child processes, worker threads, and clustering in Node.js?Aug 18, 2025. This article explains what child processes, worker threads, and clustering are in Node.js. It uses simple words and examples to help you understand how they work and when to use them.
• AI and Generative AI in Software Development and HR ProcessesAug 07, 2024. Explore how AI and Generative AI are transforming software development, quality assurance, and human resources. Learn about their applications, benefits, and real-world examples in these critical areas.
• Understanding Threads and Processes: A Guide to MultiprocessingMay 28, 2024. Multiprocessing revolutionizes computing by allowing CPUs to handle multiple tasks concurrently. Explore process-based and thread-based multiprocessing, their characteristics, key differences, and practical applications.
• Multithreading in C#: Processes, Threads, and Performance OptimizationFeb 07, 2024. In this article, we will learn to Explore how threads are managed, synchronized, and executed at the kernel level, shedding light on the core mechanisms of concurrency and parallelism.
• Overview Of Software Development ProcessesOct 07, 2016. In this article, you will learn about software development processes.
• Operations on Your Computer ProcessesJan 06, 2012. This program will help you to perform operations on your computer processes like add new task, delete new task, find process etc.
• Processes to attach Windows Service to IDE and get control in onstart EventMay 04, 2010. In this article we will see how to integrate IDE by using the .net built-in mutex logic using System.Diagnostics class.
• Can You Do Context Engineering Without Prompt Engineering?Oct 12, 2025. Explore the crucial distinction between context engineering and prompt engineering for LLMs. Learn how to build a robust context stack with filters, shaping, and provenance for governance and auditability, even without prompts. Discover why a minimal prompt contract is essential for reliable, auditable LLM outputs, ensuring consistent answers and proper citation discipline. Build your context stack first, then add a prompt!
• Perform Edge Detection Using Sobel Operator from Scratch Using PythonOct 10, 2025. Unlock the power of edge detection by implementing the Sobel operator from scratch in Python using NumPy. This article provides a step-by-step guide, complete with code, test cases, and performance tips. Learn how to apply Sobel to real-world scenarios like autonomous wheelchair navigation, optimize for low-power devices, and gain a deeper understanding of image processing fundamentals.
• How to Implement Connected Component Labeling for Object Counting Using PythonOct 10, 2025. Implement Connected Component Labeling (CCL) in Python from scratch using NumPy for object counting in images. This guide provides a step-by-step implementation of the two-pass algorithm with union-find, ideal for resource-constrained environments. Learn to count objects, like wildlife in remote areas, without relying on external libraries like OpenCV.
• Beyond the Bots: How Robotic Process Automation Is Reshaping Modern EnterprisesOct 09, 2025. Discover how Robotic Process Automation (RPA) is revolutionizing modern enterprises by streamlining workflows, cutting costs, and boosting productivity. Explore RPA's core functions, benefits like enhanced efficiency and accuracy, and diverse use cases across industries.
• Animation of Different Signalling Formats using PythonOct 08, 2025. Unlock the power of visual signal analysis with Python! This article demonstrates how to animate NRZ, Manchester, and Differential Manchester signalling formats using matplotlib. Learn to debug real-time systems like train control with intuitive visualizations, revealing timing errors and protocol violations. Turn raw data into actionable insights and build your own signal observability tool in just 50 lines of code. See the signal, save time, and enhance safety!
• How to Find the Histogram of a 256-Grayscale Image using PythonOct 08, 2025. This article teaches you how to compute a 256-grayscale histogram in Python without external libraries. Learn how histograms drive auto-exposure, defect detection, and adaptive processing in systems like autonomous robots. Discover a real-world use case where histogram analysis saves crops by enabling night vision calibration, improving accuracy by 62% with a simple 256-integer array.
• How to Convert a Grayscale Image to Binary or Negative Image Using PythonOct 08, 2025. Learn how these fundamental operations enhance real-time vision systems, using a Singapore toll booth example. Optimize image processing for edge deployment with our zero-dependency code, boosting accuracy and reducing bandwidth. Perfect for OCR, object detection, and low-latency applications.
• How to Use Environment Variables in a React AppOct 07, 2025. Learn how to use environment variables in your React app for secure and flexible configurations. Step-by-step guide with examples on .env files, process.env, and environment setup for development and production in React.
• How to Construct a Toeplitz Matrix from a Given Row and Column in PythonOct 07, 2025. This article provides a comprehensive guide on constructing Toeplitz matrices from a given row and column, highlighting their significance in signal processing, particularly in wireless communication systems like 5G. Learn how to leverage SciPy for efficient implementation, explore real-world applications, and optimize performance for faster computations. Discover how this matrix structure bridges abstract algebra and practical engineering for high-speed, low-latency connections.
• How to Find the Mean of Array Elements in PythonOct 03, 2025. Master calculating the mean of array elements in Python for payroll and HR applications. This guide provides practical, production-ready code using statistics.mean() and NumPy, ensuring accuracy and avoiding common pitfalls like empty lists and data exposure. Learn best practices for salary benchmarking, compliance, and data safety, with real-world examples and time complexity analysis. Achieve enterprise-grade reliability in your payroll systems.
• Large Language Models (LLMs), Explained: Foundations, Capabilities, Limits, and What Comes NextOct 01, 2025. Explore the world of Large Language Models (LLMs): their architecture (Transformers, attention), training (scaling, alignment), limitations (hallucination), and future (RAG, agents, efficiency). Understand how LLMs are built, why scaling works, and how to build with them robustly. Discover the key components for reliable composition and enterprise integration.
• How to Make Array Elements Unique using PythonOct 02, 2025. Learn how to efficiently deduplicate array elements in Python, especially crucial when handling sensitive healthcare data like Protected Health Information (PHI). This article explores various techniques, focusing on preserving order and ensuring compliance. Discover the best method for removing duplicate Medical Record Numbers (MRNs) while maintaining data integrity, auditability, and optimal performance. Includes practical code examples, test cases, and best practices for real-world scenarios.
• Transformers in AISep 30, 2025. Demystifying Transformers in AI! Forget robots, this guide breaks down the genius model architecture that powers AI like ChatGPT. Learn about self-attention, positional encoding, encoder-decoder structure, and how transformers predict the next word using vectors and probabilities. Understand the magic behind AI text generation!
• Understanding .NET Worker ServicesSep 26, 2025. Unlock the power of .NET Worker Services! This article explores how to build robust background processes for tasks like email dispatch, data processing, and queue management. Learn about the lifecycle, benefits (decoupling, graceful shutdown, improved UX), and real-world examples. Discover how to create scalable, maintainable, and reliable applications with .NET's modern solution for long-running tasks. Perfect for message queue consumers, IoT, and system monitoring.
• 🔍 What Are Embeddings in NLP?Sep 24, 2025. Unlock the power of Natural Language Processing (NLP) with embeddings! This article explains how embeddings transform words into numerical vectors that capture semantic meaning for machines. Learn about Word2Vec, GloVe, BERT, and practical applications in search, chatbots, and more. Master embeddings and elevate your AI/ML skills!
• Processing File Uploads and Scheduled Tasks in Azure Functions with Shared ServicesSep 22, 2025. The article demonstrates processing file uploads with a Blob Trigger and scheduling cleanup tasks with a Timer Trigger, both leveraging a shared service for core logic. Discover the best practices for structuring production-ready Azure Functions apps using triggers and shared services for file validation, and ETL.
• Large Language Models (LLMs) on Tabular DataSep 22, 2025. Learn how LLMs empower non-technical users to extract insights from spreadsheets and databases using natural language. Discover applications in business, healthcare, and education, along with challenges and best practices for leveraging LLMs with structured data. Unlock the future of data interaction!
• $100K H-1B Visa Rule: Who’s Affected and Who’s NotSep 21, 2025. The U.S. just announced a $100,000 fee for new H-1B visas. Find out who is affected, who is safe, and how this impacts U.S. companies, Indian IT firms, and international students.
• In-Process vs. Isolated Worker Model in Azure FunctionsSep 19, 2025. Explore the In-Process and Isolated Worker models in Azure Functions for .NET development. Understand the key differences, benefits, and when to choose each model. The Isolated Worker model, especially with .NET 9, offers full control over dependency injection, middleware, and hosting, making it the recommended choice for new, future-proof applications.
• Extract Text from Documents using Python (with and without AI)Sep 15, 2025. Learn how to extract text from various document types (Word, PowerPoint, PDF, emails, images) using Python and the MarkItDown package. This article covers text extraction without AI and enhances it with AI for images using OpenAI. Simplify document processing for search, summarization, and data pipelines.
• IndiaAI Pre-Summit Events 2025: How to Apply and Draft a Winning ProposalSep 14, 2025. Unlock opportunities at the IndiaAI Pre-Summit Events 2025! This guide provides essential information on how to apply, draft a winning proposal, and contribute to shaping India's AI strategy. Learn about eligibility, proposal requirements, evaluation criteria, and get a sample proposal to boost your chances of success in workshops, hackathons, and more.
• PP-OCRv5: Efficient, Accurate OCR for Multilingual & High-Density DocumentsSep 11, 2025. PP-OCRv5 is a powerful OCR model designed for accurate text detection and recognition in multilingual and high-density documents. Optimized for resource-constrained environments, it excels in handling complex layouts, handwritten text, and low-quality scans. It offers precise bounding boxes and outperforms VLMs in OCR-specific tasks, making it ideal for CPU/edge deployments.
• How to Use Dependency Injection in .NET Azure FunctionsSep 11, 2025. Learn how to implement Dependency Injection (DI) in .NET Azure Functions for cleaner, testable, and maintainable code. This guide covers both the in-process and isolated worker models, highlighting the benefits of the recommended isolated worker approach for modern .NET development.
• Data Processing: Pandas vs PySpark vs PolarsSep 10, 2025. Choosing the right data processing tool is crucial. This article compares Pandas, PySpark, and Polars, highlighting their strengths and weaknesses. Pandas excels with smaller datasets and ease of use. PySpark dominates big data processing with distributed computing. Polars offers blazing-fast speed and memory efficiency. Find the best fit for your project!
• Can AI summarize long emails or meeting notes?Sep 10, 2025. Tired of endless emails and meeting notes? Discover how AI summarization tools can boost your productivity in 2025! Learn about the benefits, limitations, and best practices for using AI to extract key information, save time, and reduce miscommunication. Explore the future of AI as your daily productivity partner.
• How Generative Engines WorkSep 09, 2025. Learn how generative engines like ChatGPT, Google Gemini, Copilot, and Perplexity work. Discover the 3-step cycle of query expansion, retrieval, and generation — and why GEO matters for citations.
• What is Dynamic Host Configuration Protocol (DHCP)Sep 04, 2025. Dynamic Host Configuration Protocol (DHCP) automates IP address assignment and network configuration, streamlining network management. Learn about DHCP components, packet formats, and the DORA process (Discover, Offer, Request, Acknowledge). Understand DHCP's advantages, disadvantages, and crucial security considerations like preventing rogue servers and IP starvation attacks for a robust network.
• Operating Systems Cheatsheet: A Beginner-Friendly GuideAug 26, 2025. Unlock the core of computing with this OS cheatsheet! Master processes, memory, scheduling, and security. Perfect for students and professionals seeking a quick reference.
• What is the Difference between spawn, exec, and fork in Node.js?Aug 19, 2025. This article explains in simple words the differences between spawn, exec, and fork in Node.js. Each method is explained with detailed points, practical examples, and a summary at the end.
• What are the global objects available in Node.js, and how are they used?Aug 19, 2025. This article explains in simple words the global objects available in Node.js, their uses, and provides detailed examples in JavaScript.
• When AI Becomes the Internet’s Primary Audience: How to Govern the Machine-Led WebAug 19, 2025. The internet’s new audience isn’t just humans but machines and AI agents. This shift raises challenges of trust, transparency, bias, and governance, making proactive safeguards and oversight more critical.
• 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.
• What are Streams and Buffers in Node.js?Aug 14, 2025. This article explains what streams and buffers are in Node.js, how they work, why they are important, and how to use them effectively with code examples.
• Unlocking Language Intelligence: A Deep Dive into spaCy for NLPAug 14, 2025. This article explores spaCy’s core capabilities, model architecture, and practical applications, offering a comprehensive guide for developers and data scientists seeking to harness its power.
• Synchronous vs Asynchronous Programming with CPU-bound & I/O-bound ExamplesAug 13, 2025. Learn the differences between synchronous and asynchronous programming in C#, explore CPU-bound vs I/O-bound tasks, and master async/await with real-life analogies, examples, performance tips, and a clear comparison table.
• What is Chain-of-Thought Prompting?Aug 12, 2025. Learn what Chain-of-Thought (CoT) prompting is, how it works in AI like ChatGPT and Claude, and how to use it for reasoning-based tasks. Includes examples, benefits, and best practices.
• Building a Smart CV Checker: My Journey with React and AIAug 12, 2025. A React-based smart CV ATS checker powered by Google’s Gemini AI, offering scores, insights, and actionable tips to optimize resumes for specific jobs, with privacy-focused, intuitive design and robust PDF/Word handling.
• What Happens When You Run a Program? (Behind the Scenes)Aug 08, 2025. Have you ever wondered what actually happens when you hit Run, Execute, or double-click a program file? It's not magic — it’s a fascinating journey that your code takes from plain text to machine-level instructions. Let’s break it down in simple terms.
• Build a Simple Chatbot in Python Using NLTK and Rule-Based LogicAug 05, 2025. In this article, you will build a lightweight Python chatbot that uses NLTK for text preprocessing and simple rule-based / similarity logic to respond to user queries. The bot handles greetings, FAQs, fallback similarity matching, and small talk. It’s a practical beginner-to-intermediate project demonstrating natural language processing basics without deep learning.
• AI-Powered Business Analysis: Smarter Strategies, Deeper InsightsJul 31, 2025. This article explores how AI is transforming business analysis—from static reports to predictive insights—empowering smarter decisions through machine learning, NLP, and real-time data across industries while addressing ethical concerns.
• Building a Conversational Chatbot Using Mastra AIJul 29, 2025. Learn how to build a conversational chatbot using Mastra AI. This step-by-step guide covers chatbot architecture, NLP integration, deployment, and real-world applications to enhance user interactions.
• Evolution of AIJul 23, 2025. Explore AI's remarkable journey—from myth to machine. This article traces its evolution from symbolic logic to deep learning and generative models, while addressing ethical challenges and future possibilities.
• How to Build an App?Jul 23, 2025. Learn how to build an app from scratch with this step-by-step guide covering idea validation, feature planning, design, development, testing, launch, and post-launch strategies to ensure long-term success.
• My Journey from Data Warehousing to Business Intelligence: A Foundation Every Analyst Should Know 😉Jul 22, 2025. Follow one professional's journey from spreadsheets to Business Intelligence, exploring data warehousing, ETL tools, and BI platforms like Power BI—offering guidance for anyone transitioning into data analytics.
• Pandas and Polars: Which Python Data Library Should You Choose?Jul 22, 2025. Explore the key differences between Pandas and Polars—two powerful Python libraries for data processing. Learn when to use each for speed, scale, and efficiency in modern data workflows.
• Ongoing HIPAA Compliance Verification: Pen Tests, Scans, Reviews & ReassessmentsJul 12, 2025. Ensure continuous HIPAA compliance with regular penetration testing, automated vulnerability scans, secure code reviews, and annual risk reassessments. Learn how to build a repeatable, audit-ready process.
• What is Tensor Processing Units (TPUs) ?Jun 16, 2025. Learn how to train deep learning models on TPUs using TensorFlow and Keras. This guide covers setup, performance tuning, data pipelines, model saving/loading, and best practices for efficient TPU usage.
• Understanding Working of Catalyst Optimizer in PySparkJun 10, 2025. The Catalyst optimizer is Spark's extensible query optimizer that powers both Spark SQL and the DataFrame API.
• Named Entity Recognition (NER) with spaCy and TransformersJun 06, 2025. Learn how to use Named Entity Recognition (NER) with spaCy and transformer models like BERT to extract people, places, and organizations from text with high accuracy.
• Getting Started with Natural Language Processing (NLP) in C# .NETJun 06, 2025. Learn how to build a simple sentiment analysis NLP model using C# and ML.NET. This hands-on guide empowers .NET developers to process text and classify sentiment efficiently.
• What is Lemmatization in Natural Language Processing(NLP)Jun 03, 2025. Lemmatization in Natural Language Processing (NLP) is the process of reducing a word to its base or dictionary form, known as a lemma.
• Getting Started with OpenCV in .NETJun 03, 2025. Learn how to use OpenCV in .NET applications with OpenCvSharp. This beginner-friendly guide covers setup, loading images, converting to grayscale, displaying results, and performing edge detection.
• 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.
• 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).
• Automate Reimbursement Approvals with Microsoft ToolsMay 10, 2025. Automate your finance team's reimbursement process with Microsoft Forms, Power Automate, and Excel Online. Streamline claims submission, approval, and tracking for an error-free, faster workflow, saving time and improving transparency.
• C# Big Data Processing Using C# 14 FeaturesMay 09, 2025. Explore how C# 14 empowers big data processing with its latest features like improved pattern matching, enhanced performance, and simplified syntax.
• 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.
• Execution Process of SQL Queries vs Stored Procedures Apr 21, 2025. Dive deep into the internal execution process of SQL Server queries with this one-of-a-kind article comparing normal SQL queries and stored procedures.
• Modern Data Wrangling with Polars and Delta Lake in Microsoft FabricApr 17, 2025. Learn how to efficiently clean, transform, and manage large datasets with high-performance tools. Discover scalable, fast, and flexible data workflows designed for today’s data engineering needs.
• How Event-Driven Architecture Boosts ScalabilityApr 03, 2025. Event-driven architecture (EDA) enables scalable, decoupled systems using asynchronous event communication. It enhances flexibility and responsiveness but introduces complexity in event management and debugging.
• Viewing the Content of Spark DataFrames in Fabric NotebookApr 02, 2025. Discover techniques to preview, filter, and analyze large datasets using Apache Spark. Whether you're working with PySpark or big data processing, enhance your workflow with efficient DataFrame visualization.
• Exploring PLINQ (Parallel LINQ) for Parallel ProcessingMar 29, 2025. PLINQ (Parallel LINQ) is a powerful feature in .NET that enables parallel processing of queries to improve performance on multi-core processors.
• Creating DataFrames in PySpark Using Fabric NotebookMar 27, 2025. This article walks through defining schemas, specifying column names, and using SQL-like DDL in a Fabric Notebook. Explore StructType, StructField, and various ways to display and verify DataFrame content efficiently.
• 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.
• Quickly Build Power Apps with CopilotFeb 17, 2025. Microsoft Power Apps with Copilot simplifies app development by automating tasks like database creation and offering customization options.
• Building a Scalable Real-Time Animal Image Classification System on AzureJan 16, 2025. This article covers leveraging Azure's cloud infrastructure, including Azure Machine Learning, Cognitive Services, and Azure Kubernetes Service, for efficient and fast image processing.
• Python Data Analysis Package ExampleJan 09, 2025. Learn how to perform data analysis in Python using powerful packages like Pandas, NumPy, and Matplotlib. This example-driven guide demonstrates key steps, including data loading, cleaning, processing, and visualization.
• Data Warehousing: A SummaryDec 30, 2024. Explore the fundamentals of data warehousing in this summary. Learn about its architecture, the ETL process, and key concepts like OLAP, data modeling, and integration.
• 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.
• Understanding Parallel.For Method in c#Dec 23, 2024. Parallel.For in C# allows executing loops in parallel, improving performance by utilizing multiple processors or cores. It enhances scalability but introduces overhead and requires thread safety for shared resources.
• Create Customer and Process Card Payments with Tokenization AngularDec 10, 2024. Create a customer using tokenization and the payment process with a card in Angular. Explore integrating Stripe for credit card payments and design in Angular using Stripe.js and .NET backend. Detailed steps, UI, and API integration are provided.
• 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.
• Payment and Invoice Processing Using Stripe in .NETDec 07, 2024. Learn how to integrate Stripe with .NET for secure payment processing, including customer creation, payment methods, invoices, refunds, and more. A step-by-step guide for building robust and scalable payment solutions.
• Alibaba Cloud IMS: End-to-End Media Management SolutionDec 03, 2024. Explore Alibaba Cloud IMS, a powerful media service for content collection, processing, production, and delivery with advanced AI-driven workflows.
• Data Professionals to LLM/GPT Prompting for Everyday TasksNov 17, 2024. A guide for data professionals on leveraging Microsoft OpenAI with Python for efficient workflows and enhanced data analysis. Focuses on prompt design, including clear instructions, context, and temperature adjustments.