Introduction to Generative AI: A Comprehensive Guide

The first time I watched a generative model produce coherent text from a simple prompt, I knew we had crossed a threshold that would reshape how we build software. After two decades of working with various AI and ML systems, from rule-based expert systems to deep learning pipelines, I can say with confidence that generative […]

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Scaling Up Your Pods: How Horizontal Pod Autoscaling Wins

After two decades of managing containerized workloads across production environments, I’ve come to appreciate that the difference between a good Kubernetes deployment and a great one often comes down to how intelligently it responds to changing demand. Horizontal Pod Autoscaling (HPA) represents one of those fundamental capabilities that separates reactive operations from proactive infrastructure management. […]

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Multi-Model Orchestration: Routing, Parallel Execution, and Specialized Pipelines

Introduction: Production LLM applications often benefit from using multiple models—routing simple queries to cheaper models, using specialized models for specific tasks, and falling back to alternatives when primary models fail. Multi-model orchestration enables cost optimization, improved reliability, and access to each model’s unique strengths. This guide covers practical orchestration patterns: model routing based on query […]

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Building AI Chatbots with Memory: From Stateless to Intelligent Assistants

Introduction: Chatbots without memory feel robotic—they forget your name, repeat questions, and lose context mid-conversation. Production chatbots need sophisticated memory systems: short-term memory for the current conversation, long-term memory for user preferences and history, and summary memory to compress long interactions. This guide covers implementing these memory patterns: conversation buffers, vector-based retrieval, automatic summarization, and […]

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What Is GPT-3.5 or GPT-4 or GPT-4 Turbo? Everything You Should Know

A comprehensive guide to OpenAI’s GPT model family. Understand the differences between GPT-3.5, GPT-4, and GPT-4 Turbo, including pricing, features, context windows, and practical implementation advice for developers.

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Deep Dives into EKS Monitoring and Observability with CDKv2

Running production workloads on Amazon EKS demands more than basic health checks. After managing dozens of Kubernetes clusters across various industries, I’ve learned that the difference between a resilient system and a fragile one often comes down to how deeply you can see into your infrastructure. This guide shares the observability patterns and CDK-based automation […]

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