·Artificial Intelligence
What is NLP (Natural Language Processing) and how does it work?
A deep dive into the mechanics of Natural Language Processing, exploring how machines understand human language, from tokenization to transformers.
Artificial Intelligence Articles
16 posts
·Artificial Intelligence
Vectors in AI and Machine Learning: How to create a vector in Python using NumPy
A comprehensive guide for software engineers on understanding vectors, why they are the bedrock of AI, and how to manipulate them efficiently using Python and NumPy.
·Artificial Intelligence
Architecting Resilient Autonomous Agents for Production
A deep dive into building reliable, production-ready autonomous agent systems, focusing on error handling, state management, and observability.
·Artificial Intelligence
Autonomous Agents: The New Senior Engineers?
Why autonomous AI agents are moving from toy demos to production infrastructure, and what it means for your engineering team.
·Artificial Intelligence
K-Nearest Neighbor(KNN) Algorithm: A Simple, Supervised Machine Learning Method
An engineer's guide to the KNN algorithm, exploring its utility in classification and regression, its simplicity, and its performance trade-offs in production.
·Artificial Intelligence
Linear regression and logistic regression: It's role in AI and Machine Learning
A deep dive into the foundational logic of AI: understanding the difference between predicting values (Linear) and predicting probabilities (Logistic).
·Artificial Intelligence
MCP Server for AI Agents: Why and How to Use It
A deep dive into the Model Context Protocol (MCP), explaining why it's the missing link for production AI agents and how to implement it.
·Artificial Intelligence
Supervised vs. Unsupervised Learning, Overfitting/Underfitting: What are these?
A developer's guide to the core concepts of machine learning: from data labeling to the delicate balance of model complexity.
·Artificial Intelligence
Neural Networks: How they work and why they are so powerful (with code examples)
A deep dive into the architecture of neural networks, exploring layers, activation functions, and why they dominate modern AI.
·Artificial Intelligence
Prompt Engineering for Beginners: A Practical Guide to Writing Effective Prompts for AI Agents
Stop guessing and starting engineering. A technical guide to the principles of reliable prompt design for AI agents.
·Artificial Intelligence
Self-Healing AI Agents: How to Build Resilient AI Systems
Why most AI agents fail in production and how to build systems that detect, correct, and learn from their own errors.