Build Your Own Data Analysis AI Agent with smolagents and a Local LLMBuild a data analysis AI agent with smolagents, Python, and a local LLM. Explore CSV files, generate charts, and improve agent reliability.14 min read·blogs-amoydutta.hashnode.devOct 12
Can Jev Actually Sort Your IT Tickets? We Built a Baseline and Found OutA rigorous evaluation of Jev’s AI classifier, testing accuracy, calibration, labeling, and real-world performance against a TF-IDF + SVM baseline.18 min read·blogs-amoydutta.hashnode.devOct 2
Explainable Recommendations in Practice: A Demo-Driven ApproachA practical and mathematical walkthrough of building an explainable movie recommendation system using personas, collaborative filtering, and LLMs.8 min read·blogs-amoydutta.hashnode.devFeb 10
The End of the Black Box: Why the "Why" is the Future of PersonalizationHow LLM-generated explanations improve recommendation systems. Explore architecture, safety layers, performance trade-offs, and ROI for product teams.8 min read·blogs-amoydutta.hashnode.devJan 26
Building a Smarter Product Chatbot: What RAG Gets Right—and Where It BreaksA hands-on comparison of a prompt-engineered assistant and a RAG pipeline, with real failure modes, evaluation results, and practical takeaways.11 min read·blogs-amoydutta.hashnode.devDec 22, 2025
