Introduction: LLM inference is expensive—both in compute and latency. Every token generated requires a forward pass through billions of parameters, and users expect responses in seconds, not minutes. Inference optimization techniques reduce costs and improve responsiveness without sacrificing output quality. This guide covers practical optimization strategies: batching requests to maximize GPU utilization, managing KV caches […]
Read more →AI Security Best Practices: Beyond Prompt Injection
Last year, our AI application was compromised. Not through prompt injection—through model extraction. An attacker downloaded our fine-tuned model in 48 hours. After securing 20+ AI applications, I’ve learned that prompt injection is just the tip of the iceberg. Here’s the complete guide to AI security beyond prompt injection. Figure 1: AI Security Threat Landscape […]
Read more →Azure Monitor: A Solutions Architect’s Guide to Enterprise Observability
Azure Monitor Architecture – Data Sources, Platform, Insights, and Actions Observability has become the cornerstone of successful cloud operations, and after two decades of building and maintaining enterprise systems, I can confidently say that Azure Monitor represents one of the most comprehensive observability platforms available today. The ability to collect, analyze, and act on telemetry […]
Read more →React Server Components: Enterprise Architecture and Best Practices Guide
React Server Components represent the most significant architectural shift in React since hooks. By moving rendering logic to the server while maintaining React’s component model, RSC fundamentally changes how we think about data fetching, bundle sizes, and application performance. Introduction React Server Components (RSC) enable developers to build applications where components render on the server […]
Read more →Hugging Face Transformers: The Complete Guide to Open-Source AI Model Deployment
Introduction: Hugging Face Transformers has become the de facto standard library for working with transformer-based models. With access to over 500,000 pre-trained models and 150,000 datasets through the Hugging Face Hub, it provides the most comprehensive ecosystem for deploying open-source AI models. Whether you’re running Llama, Mistral, or fine-tuning your own models, Transformers offers a […]
Read more →Model Routing Strategies: Intelligent Request Distribution Across LLMs
Introduction: Not every request needs GPT-4. Simple questions can be handled by smaller, faster, cheaper models, while complex reasoning tasks benefit from more capable ones. Model routing intelligently directs requests to the most appropriate model based on task complexity, cost constraints, latency requirements, and quality needs. This approach can reduce costs by 50-80% while maintaining […]
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