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.
This article covers secure authentication, authorization, microservices communication, and policy enforcement to help you design modern, resilient, and secure applications based on Zero-Trust principles.
This article covers real-time data ingestion, NoSQL storage design, and integration with event-driven architectures—ideal for developers building scalable and responsive cloud applications with .NET and Azure.
Learn how to use layered prompts to build a C# database solution with EF Core, Dapper, ADO.NET, SQL Server scripts, and benchmarks.
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.
This article addresses common concerns, potential risks, and how to balance creativity with code quality, standards, and team collaboration.
This project demonstrates an advanced C# database architecture combining EF Core, Dapper, and ADO.NET to achieve optimal performance, flexibility, and maintainability—complete with clean architecture, logging, and benchmarks.
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.
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.
Explore advanced C# database techniques using ADO.NET, Entity Framework Core, and Dapper.
Tech & AI Chronicles is a LinkedIn newsletter delivering clear, expert analysis on the latest tech and AI trends.
Build a scalable School Administration System using C# 14 and .NET 9. Leverage features like primary constructors, minimal APIs, and performance optimizations to manage student info, attendance, grades, schedules, and more.
Vibe programming combines design and functionality, focusing on user experience and aesthetics. Clear prompts guide AI and developers to create polished applications with precise styling, enhancing usability and mood.
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.
Explore the national AI strategies and roadmaps of GCC countries, including the UAE, Saudi Arabia, Qatar, Bahrain, Oman, and Kuwait.
Vibe coding is a creative, collaborative approach to programming with AI, leveraging LLMs for exploration, rapid iteration, and ideation while maintaining human control, responsibility, and an experimental development mindset.
This article explores integrating machine learning to assist healthcare professionals with smarter, data-driven decisions, improving patient outcomes and streamlining clinical workflows.
Learn how to efficiently upload large files to Amazon S3 using Multipart Upload in .NET (C#). Explore automation with TransferUtility, manual control, best practices, retries, and production integration tips.
Explore how C# 14 and .NET 9 support secure healthcare apps, including EHR systems, real-time patient monitoring, cross-platform interfaces, and ML.NET-based diagnostics.
This article covers uploading, downloading, and managing blobs, making it easier to integrate cloud storage into your .NET applications efficiently and securely.
Prompt engineering is the core skill of Vibe Coding, ensuring AI understands tasks clearly. Clear communication transforms AI into a powerful ally, now and in the evolving future of development.
AI is transforming longevity science through drug discovery, biomarker detection, personalized medicine, clinical trials, and public health, helping extend healthspan and optimize aging interventions.
AI is transforming programming education, demanding a shift from syntax-focused learning to critical thinking, system design, and AI collaboration—preparing students to thrive and lead in an AI-driven world.
C# 14 brings powerful new features like interceptors, type aliases, and inline arrays, helping developers write cleaner, safer, and more efficient code while boosting productivity and modern application development.
C# 14 introduces enhanced lambda variance rules, making lambdas more flexible, intuitive, and type-safe, empowering developers to build cleaner, reusable, and more modern C# applications effortlessly.
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