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RAG vs Fine-Tuning: Which One Does Your Problem Actually Need?
Technology

RAG vs Fine-Tuning: Which One Does Your Problem Actually Need?

There’s a question that shows up in every AI project meeting eventually, usually around the time someone realises …

Abhay Abhay · Aug 30, 2025 · 4 min read
Natural Language Processing (NLP), Explained
Technology

Natural Language Processing (NLP), Explained

Human language is a glorious mess. We use “bank” for both rivers and money, end sentences with prepositions …

Abhay Abhay · Aug 19, 2025 · 5 min read
Time Series Forecasting, Explained
Technology

Time Series Forecasting, Explained

Most machine learning problems don’t care about order. Shuffle your spam emails, your cat-vs-dog photos, your loan …

Abhay Abhay · Aug 5, 2025 · 4 min read
Batch Normalization, Explained
Technology

Batch Normalization, Explained

Picture a relay race where every runner secretly changes the distance of the baton handoff between laps. The next runner …

Abhay Abhay · Jul 31, 2025 · 5 min read
Cross-Validation and Data Leakage: Why Your Model's Score Is Lying
Technology

Cross-Validation and Data Leakage: Why Your Model's Score Is Lying

Every data scientist has felt the high: you train a model, check the test score, and it reads 96%. You mentally draft …

Abhay Abhay · Jul 31, 2025 · 5 min read
Transformers: The Architecture Behind Modern AI
Technology

Transformers: The Architecture Behind Modern AI

Every time you chat with an AI, ask it to summarise a contract, or watch it generate an image of a corgi in a spacesuit, …

Abhay Abhay · Jul 22, 2025 · 4 min read
Small Language Models: Why Smaller Is Often Smarter
Technology

Small Language Models: Why Smaller Is Often Smarter

For the last few years, the AI playbook had exactly one move: bigger. More parameters, more GPUs, more billions. If a …

Abhay Abhay · Jul 7, 2025 · 4 min read
How to Build Your First RAG Pipeline (Step by Step)
Technology

How to Build Your First RAG Pipeline (Step by Step)

Large language models are brilliant conversationalists with one inconvenient flaw: they will confidently make things up …

Abhay Abhay · Jun 28, 2025 · 5 min read
Putting a Model in Production: Serving ML Models
Technology

Putting a Model in Production: Serving ML Models

Your model hits 94% accuracy in the notebook. Everyone claps. Then someone asks the question that turns triumph into …

Abhay Abhay · Jun 22, 2025 · 4 min read
Regularization: L1, L2, Dropout, and Weight Decay
Technology

Regularization: L1, L2, Dropout, and Weight Decay

Every model wants to be a star pupil. Give it enough freedom and it will happily memorise your training data down to the …

Abhay Abhay · Jun 20, 2025 · 4 min read
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