A comprehensive guide to becoming a Full Stack AI Engineer in 2026. Learn the complete stack from frontend to infrastructure, with practical code examples using GPT-5, Python, FastAPI, LangChain, and Next.js for building AI-powered applications.
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The Complete Evolution of OpenAI’s GPT Models: From GPT-1 to GPT-5.2
A comprehensive journey through OpenAI’s GPT model evolution from 2018 to 2025. From the 117M parameter GPT-1 to today’s trillion-parameter GPT-5.2, explore the revolutionary advances in context windows, pricing, capabilities, and market adoption that have transformed AI.
Read more →Production Model Deployment Patterns: From REST APIs to Kubernetes Orchestration in Python
After deploying hundreds of ML models to production across startups and enterprises, I’ve learned that model deployment is where most AI projects fail. Not because the models don’t work—but because teams underestimate the engineering complexity of serving predictions reliably at scale. This article shares production-tested deployment patterns from REST APIs to Kubernetes orchestration. 1. The […]
Read more →Tips and Tricks – Use CQRS for Complex Domain Logic
Separate read and write operations for better scalability and simpler code.
Read more →Microsoft Azure AI Foundry: The Complete Guide to Enterprise AI Development
Introduction: Microsoft Azure AI Foundry (formerly Azure AI Studio) represents Microsoft’s unified platform for building, evaluating, and deploying generative AI applications. Announced at Microsoft Ignite 2024, AI Foundry consolidates Azure’s AI capabilities into a single, cohesive experience that spans model selection, prompt engineering, evaluation, fine-tuning, and production deployment. With access to Azure OpenAI models, Meta […]
Read more →Tips and Tricks – Use Intersection Observer for Lazy Loading
Load images and content only when they enter the viewport for faster initial page loads.
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