.NET AI Architect Laboratory: My Architectural Experiments and Learning Journey in the AI Ecosystem (Phase 1)
Murat Süzen has launched the .NET AI Architect Laboratory to explore the integration of large language models (LLMs) into applications. This project serves as a personal learning journey focused on mastering AI integration beyond basic documentation. The first phase involved building a robust architecture while ensuring security and flexibility in the .NET ecosystem.
- ▪The laboratory aims to understand the architectural mechanics of LLMs and develop sustainable design patterns for AI integration.
- ▪Süzen has faced challenges such as version upgrades and authentication hurdles, which have deepened his understanding of AI libraries.
- ▪Phase 1 accomplishments include creating a provider-agnostic architecture and implementing strict schema controls for AI outputs.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 450169) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Murat Süzen Posted on May 20 .NET AI Architect Laboratory: My Architectural Experiments and Learning Journey in the AI Ecosystem (Phase 1) #ai #llm #tutorial #semantickernel n an era where artificial intelligence technologies are advancing at breakneck speed, the best way to truly grasp new libraries and paradigms is to roll up your sleeves and get into the kitchen.
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