What is model serialization? How to serialize and deserialize models in Python
Master model serialization fundamentals and learn when to use pickle vs joblib for production ML systems with hands-on examples.
Machine-learning
- Why Decoder-Only Models Rule Modern AI: Architecture Insights from GPT to LlamaExploring why decoder-only architectures like GPT-4 and Llama dominate AI today, and when encoder-decoder models still provide superior solutions for specific enterprise challenges.
- What is an epoch in machine learning?An epoch is one full pass over the training dataset. Learn how it differs from batches and steps—with an interactive animation.
- What is learning rate in machine learning?The learning rate controls how big each step is during optimization—too small is slow, too large overshoots.
- What is One Hot Encoding and How to Use ItMaster one hot encoding with interactive examples - transform categories into numbers machines can understand.
- What Is Inference? Understanding the Prediction Process in MLA story-first explanation of ML inference—the moment a model performs—and how to make it fast, reliable, and cost‑effective.
- What is Feed Forward? Understanding the Foundation of Neural NetworksFeed forward is the fundamental process in neural networks where data flows unidirectionally from input to output layers, enabling pattern recognition and prediction without feedback loops.
- What Is Tokenization? The Foundation That Shapes How LLMs Understand LanguageTokenization isn't just splitting text—it's defining the fundamental units of meaning that determine how AI models perceive and understand language.