Tutorials, Tips &amp; Guides

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Complete ML Interview Preparation Guide for FAANG Companies

Everything you need to ace ML engineer interviews at Google, Amazon, Meta and Microsoft — from theory questions to system design.

May 15, 202615 min read

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Agentic AI Interview Preparation Guide

Prepare for Agentic AI interviews with a structured plan covering tool calling, planning, memory, MCP, multi-agent systems, safety, evaluation, and deployment.

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LLM & RAG Interview Preparation Guide

Prepare for LLM and RAG interviews with a step-by-step plan covering Transformers, embeddings, retrieval, reranking, evaluation, safety, and production LLM systems.

Oct 6, 202615 min read

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Generative AI

What is RAG (Retrieval-Augmented Generation) and How Does It Work?

Learn how RAG combines LLMs with external knowledge, how its retrieval architecture works, how to build it in Python, and when to use it.

Jul 3, 202614 min read

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All Articles

Generative AI Interview Preparation Guide

Prepare for Generative AI interviews across generative modelling, VAEs, GANs, diffusion, multimodal AI, fine-tuning, evaluation, safety, and deployment.

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Deep Learning Interview Preparation Guide

Prepare for Deep Learning interviews with a structured roadmap covering neural-network fundamentals, CNNs, RNNs, Transformers, training, debugging, and production.

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AI Engineering & MLOps Interview Preparation Guide

Prepare for AI Engineering and MLOps interviews across data pipelines, deployment, CI/CD, monitoring, drift, reliability, and end-to-end ML system design.

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Fundamentals

Overfitting vs Underfitting: How to Diagnose and Fix Both

Learn to diagnose overfitting and underfitting with learning curves, then fix them using regularisation, dropout, early stopping, and other techniques.

May 10, 20268 min read

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Data Science

6 Feature Engineering Techniques That Improve Any ML Model

Learn six practical feature engineering techniques for stronger ML models, including missing-value indicators, date encoding, target encoding, and interactions.

May 5, 202610 min read

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Algorithms

XGBoost vs Random Forest: Which Should You Choose?

Compare XGBoost and Random Forest, understand how they differ, when to use each model, and how to tune them effectively with practical code examples.

Apr 28, 202611 min read