AI/ML insights, tutorials, and lessons from real projects
A deep dive into building a Corrective RAG pipeline over 18,992 eBay products — from query rewriting to FAISS semantic search and deployment on Elastic Beanstalk.
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How I built a conversational AI that controls my entire Google Workspace through natural language using Model Context Protocol and AWS Bedrock.
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What the confusion matrix taught me that the accuracy score didn't — a deep dive into EfficientNet, overfitting, class imbalance, and deploying on AWS Lambda.
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Step-by-step tutorial on creating a Retrieval-Augmented Generation chatbot that processes 140+ PDFs and provides context-aware answers.
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A practical guide to containerizing ML models and deploying them as serverless APIs using AWS Lambda, ECR, and API Gateway.
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Understanding the differences between vector similarity search and traditional keyword search, and how to combine them for hybrid retrieval.
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