Data quality determines AI model performance. After managing data quality for 100+ AI projects, I’ve learned what matters. Here’s the complete guide to ensuring high-quality training data. Figure 1: Data Quality Framework Why Data Quality Matters Data quality directly impacts model performance: Accuracy: Poor data leads to poor predictions Bias: Biased data creates biased models […]
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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 […]
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Introduction: LangChain has emerged as the de facto standard framework for building applications powered by large language models. Originally released in October 2022, it has grown from a simple prompt chaining library into a comprehensive ecosystem that includes LangChain Core, LangChain Community, LangGraph, and LangSmith. With over 90,000 GitHub stars and adoption by thousands of […]
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Complete migration guide from Semantic Kernel and AutoGen to Microsoft Agent Framework. Before/after code examples and step-by-step instructions.
Read more →The Server-First Revolution: How React Server Components Changed Everything I Thought I Knew About Frontend Architecture
For eight years, I built React applications the same way everyone else did: render everything on the client, fetch data with useEffect, and watch the bundle size grow with every new feature. Then React Server Components arrived, and I had to unlearn almost everything I thought I knew about frontend architecture. Server Components vs Client […]
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