Machine Learning
RAG Explained: How Retrieval-Augmented Generation Works
RAG gives a language model the right documents at the moment it answers. The pipeline step by step, chunking and embeddings, a…
Machine Learning
What machine learning actually does, the main kinds of learning, and how to get started with Python libraries without a maths degree.
7 guides
Machine Learning
Machine Learning vs Deep Learning
Deep learning is machine learning done with neural networks of many layers. What that changes, why it dominates images and text but…
Machine Learning
Fine-Tuning vs Transfer Learning
Transfer learning is the idea of reusing a trained model; fine-tuning is one way of doing it. The relationship, the other ways,…
Machine Learning
Machine Learning with Python
A first machine learning model in scikit-learn, explained line by line: loading data, splitting it, training, evaluating, and why the train/test split…
Machine Learning
Fine-Tuning vs RAG: Which Does Your Project Need?
Fine-tuning changes how a model behaves; RAG changes what it knows at the moment of answering. The decision in one question, the…
Machine Learning
Transformer Models Explained for Programmers
The architecture behind every modern language model, explained without the maths: tokens, embeddings, attention, and why it replaced everything before it.
Machine Learning
What Is Fine-Tuning? Explained With Examples
Fine-tuning takes a model that already knows a lot and teaches it your specific task. What it changes, when it beats prompting…
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Where to go next
Programming Basics
The ideas every language shares — variables, loops, functions and how a program actually runs.
17 guides
Python
Plain-English Python guides, from your first line of code to small programs that do real work.
72 guides
JavaScript
How JavaScript works in the browser, explained with short examples you can paste and run.
32 guides
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