IZismail zamarehinathar-automation.hashnode.dev·May 6 · 9 min readA Practical Guide to Tackling Class Imbalance in Tabular DatasetsA Practical Guide to Tackling Class Imbalance in Tabular Datasets Imagine you’ve built a machine learning model to detect fraudulent credit card transactions. After weeks of feature engineering and hyperparameter tuning, your model reports 99% accura...00
IZismail zamarehinathar-automation.hashnode.dev·May 6 · 9 min readData-centric AI Tools for Fixing Label Noise and Class Imbalance: A Review of Cleanlab and Snorkel PerformanceData-centric AI Tools for Fixing Label Noise and Class Imbalance: A Review of Cleanlab and Snorkel Performance When an AI model fails to meet expectations in production, the first instinct is often to blame the algorithm—tweak the architecture, adjus...00
IZismail zamarehinathar-automation.hashnode.dev·May 6 · 6 min readMulti-Agent Orchestration with CrewAI: Specialist Agents vs Orchestrator-Worker PatternsWhen building production AI systems with CrewAI, the choice between specialist agents and orchestrator-worker patterns isn't just architectural—it's a decision that impacts cost, reliability, and scalability. Let me walk you through the concrete trad...00
IZismail zamarehinathar-automation.hashnode.dev·May 5 · 8 min readMulti-Agent Orchestration in the Athar Application: Building Smarter Educational AI TeamsMulti-Agent Orchestration in the Athar Application: Building Smarter Educational AI Teams The landscape of artificial intelligence is shifting from monolithic models to coordinated systems of specialized agents. While the industry buzzes with excitem...00
IZismail zamarehinathar-automation.hashnode.dev·May 5 · 8 min readMulti-Agent Orchestration in the Athar ApplicationMulti-Agent Orchestration in the Athar Application Introduction: The Rise of Coordinated AI Systems In the rapidly evolving landscape of artificial intelligence, a new architectural paradigm is gaining momentum: multi-agent orchestration. Rather than...00
