Cache expensive function results automatically with the built-in cache decorator.
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Progressive Web Apps (PWAs) for AI: Offline-First LLM Applications
Progressive Web Apps (PWAs) for AI: Offline-First LLM Applications Expert Guide to Building Offline-Capable AI Applications with Service Workers I’ve built AI applications that work offline, and I can tell you: it’s not just about caching—it’s about rethinking how AI applications work. When users lose connectivity, they shouldn’t lose their work. When they’re on slow […]
Read more →Cloud LLMOps: Mastering AWS Bedrock, Azure OpenAI, and Google Vertex AI
Deep dive into cloud LLMOps platforms. Compare AWS Bedrock, Azure OpenAI Service, and Google Vertex AI with practical implementations, RAG patterns, and enterprise considerations.
Read more →Building AI Agents: A Complete Code Review Assistant from Scratch
Hands-on tutorial building a production-ready AI agent. Create a code review assistant with tool use, error handling, caching, and GitHub integration.
Read more →Enterprise Observability on Google Cloud: Mastering Logging, Monitoring, and Distributed Tracing
Introduction: Google Cloud’s operations suite (formerly Stackdriver) provides comprehensive observability through Cloud Logging, Cloud Monitoring, Cloud Trace, and Error Reporting. This guide explores enterprise observability patterns, from log aggregation and custom metrics to distributed tracing and intelligent alerting. After implementing observability platforms for organizations running thousands of microservices, I’ve found GCP’s integrated approach delivers exceptional […]
Read more →GraphQL for AI Services: Flexible Querying for LLM Applications
GraphQL provides flexible querying for LLM applications. After implementing GraphQL for 15+ AI services, I’ve learned what works. Here’s the complete guide to using GraphQL for AI services. Figure 1: GraphQL Architecture for AI Services Why GraphQL for AI Services GraphQL offers significant advantages for AI services: Flexible queries: Clients request exactly what they need […]
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