Discover the three types of long-term memory that transform AI agents from simple chatbots into autonomous systems that learn and adapt.
Author Archive | Vinod Chugani
From Shannon to Modern AI: A Complete Information Theory Guide for Machine Learning
Connect Shannon’s 1948 insights to modern machine learning through entropy, information gain, cross-entropy, and advanced AI applications.
The Complete AI Agent Decision Framework
A systematic framework for choosing the right AI agent framework and pattern for your specific use case.
Building ReAct Agents with LangGraph: A Beginner’s Guide
Build ReAct agents with LangGraph using hardcoded logic and LLM-powered reasoning to create adaptive AI systems.
The Machine Learning Practitioner’s Guide to Fine-Tuning Language Models
Learn when fine-tuning makes sense, which parameter-efficient methods to use, and how to avoid common pitfalls.
The Machine Learning Practitioner’s Guide to Agentic AI Systems
Learn how to transition from traditional machine learning to agentic AI with practical frameworks, projects, and resources.
7 AI Agent Frameworks for Machine Learning Workflows in 2025
AI agents turn reactive machine learning operations into proactive, intelligent systems that can reason about complex trade-offs and adapt to evolving conditions.
How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models
Learn to combine scikit-learn’s preprocessing, CatBoost’s high-performance modeling, and SHAP’s transparent explanations into a complete workflow that delivers both accuracy and interpretability for house price prediction.
A Gentle Introduction to SHAP for Tree-Based Models
Learn how to use SHAP to transform your XGBoost models from black boxes into transparent, explainable systems that reveal exactly how each feature contributes to every prediction.
A Gentle Introduction to Word Embedding and Text Vectorization
From simple word counting to sophisticated neural networks, text vectorization techniques have transformed how computers understand human language by converting words into mathematical representations that capture meaning and context.