AI & Tech Interview Prep

LLM Fundamentals

Large Language Models (LLMs) have revolutionized AI, enabling applications from sophisticated chatbots to advanced code…

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Transformer Architecture

The Transformer architecture, introduced in the seminal 2017 paper 'Attention is All You Need', has fundamentally…

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Attention Mechanisms

Attention Mechanisms have revolutionized the field of Artificial Intelligence, particularly in Natural Language…

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Tokenization

Tokenization is a fundamental process in Natural Language Processing (NLP) and a cornerstone for modern Large Language…

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Fine-Tuning

Fine-tuning is a crucial technique in modern AI, especially with the rise of large language models (LLMs) and…

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LoRA & PEFT

LoRA (Low-Rank Adaptation) and PEFT (Parameter-Efficient Fine-Tuning) are critical techniques for adapting large…

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Prompt Engineering

Prompt Engineering is the art and science of crafting effective inputs (prompts) to guide Large Language Models (LLMs)…

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Context Engineering

Context Engineering is the systematic practice of designing, structuring, optimizing, and managing the input context…

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Chain of Thought

Chain of Thought (CoT) prompting has revolutionized how we interact with and utilize Large Language Models (LLMs). By…

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Structured Outputs

Structured Outputs refer to the practice of forcing Large Language Models (LLMs) to return responses that strictly…

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Function Calling

Function calling is a breakthrough capability in modern Large Language Models (LLMs) that allows them to interact…

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MCP

The Model Context Protocol (MCP) is an open standard designed to solve one of the most persistent challenges in modern…

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RAG

Retrieval-Augmented Generation (RAG) has become the industry standard pattern for grounding Large Language Models…

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Embeddings

Embeddings are the foundational building blocks of modern AI systems, particularly in Retrieval-Augmented Generation…

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Vector Database

Vector databases have emerged as a cornerstone of the modern AI stack, specifically within Retrieval-Augmented…

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Semantic Search

Semantic search represents a paradigm shift from traditional keyword-based retrieval (lexical search) to meaning-based…

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Reranking

Reranking is a critical optimization technique in modern Information Retrieval (IR) and Retrieval-Augmented Generation…

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Hybrid Search

Hybrid search has emerged as a cornerstone of modern Retrieval-Augmented Generation (RAG) and enterprise search…

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AI Agent

AI Agents represent the frontier of artificial intelligence engineering, shifting the paradigm from passive,…

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Agentic AI

Agentic AI represents a paradigm shift in artificial intelligence, moving from passive, prompt-response systems to…

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Multi-Agent Systems

Multi-Agent Systems (MAS) represent a paradigm shift in AI engineering, moving from single, monolithic LLM prompts to…

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Agent Memory

Agent Memory is the foundational cognitive architecture that enables AI agents to persist, retrieve, and update…

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Agent Planning

Agent planning is a foundational cognitive capability in modern agentic AI systems. It refers to an AI agent's capacity…

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Tool Calling

Tool calling is a foundational capability in modern AI engineering that allows Large Language Models (LLMs) to interact…

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LLMOps

LLMOps, or Large Language Model Operations, represents the practices, techniques, and tools used to operationalize…

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AI Evaluation

AI Evaluation is the cornerstone of transitioning generative AI applications from prototype to production. As…

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AI Observability

AI Observability has emerged as a critical discipline in modern software engineering, moving far beyond traditional…

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Hallucination Mitigation

Hallucination mitigation is the engineering discipline of reducing or eliminating instances where Large Language Models…

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AI Cost Optimization

AI Cost Optimization is the strategic practice of reducing the expenses associated with developing, deploying, and…

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AI System Design

AI System Design is the specialized discipline of architecting end-to-end infrastructures that support the training,…

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Python

Python remains a cornerstone in software development, data science, machine learning, and AI engineering in 2026. Its…

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Advanced Python

Advanced Python Interview Questions target the deepest layers of the CPython runtime, object model, and execution…

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SQL

SQL (Structured Query Language) remains the cornerstone for interacting with relational databases, a fundamental skill…

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Algorithms

Algorithms are the bedrock of computer science and software engineering, defining the step-by-step procedures that…

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Data Structures

Data structures are the fundamental building blocks of software engineering, defining how data is organized, managed,…

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FastAPI

FastAPI has emerged as the industry standard for building high-performance Python APIs in 2026, largely due to its…

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Async Programming

Async Programming has evolved from a niche optimization to a fundamental requirement for modern backend and AI…

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PostgreSQL

PostgreSQL has solidified its position in 2026 as the industry-standard relational database for mission-critical…

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Redis

Redis (Remote Dictionary Server) has evolved from a simple key-value store into the backbone of modern, real-time…

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MongoDB

MongoDB is the world's most popular document-oriented NoSQL database, and in 2026 it remains the go-to choice for…

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Data Pipelines

Data Pipelines are the backbone of modern data-driven organisations, enabling the reliable flow of information from…

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Apache Kafka

Apache Kafka has become an indispensable technology for building high-throughput, fault-tolerant, and scalable…

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Message Queues

Message Queues are fundamental components in modern distributed systems, enabling asynchronous communication and loose…

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System Design

System Design interviews assess a candidate's ability to architect large-scale, distributed software systems from…

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Distributed Systems

Distributed systems are the foundation of every large-scale application in 2026, from global financial platforms…

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Caching

Caching is a fundamental technique in computer science and system design, crucial for building high-performance,…

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Docker

Docker has cemented its position as a foundational technology in modern software development and operations. In 2026,…

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Kubernetes

Kubernetes has solidified its position as the de facto standard for container orchestration in 2026. As infrastructure…

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CI/CD

Continuous Integration and Continuous Deployment (CI/CD) represents the operational backbone of modern software…

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Testing

In 2026, software testing has evolved from a post-development verification step into a core engineering discipline…

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Git

Git is the industry-standard distributed version control system (DVCS) that underpins modern software engineering,…

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LangChain

LangChain has established itself as the industry-standard orchestration framework for building applications powered by…

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LangGraph

LangGraph is a specialised library built on top of LangChain for constructing stateful, cyclic, multi-actor…

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LlamaIndex

LlamaIndex is the leading data framework for building RAG (Retrieval-Augmented Generation) pipelines and LLM-powered…

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DSPy

DSPy (Declarative Self-improving Language Programs) represents a paradigm shift in AI engineering, moving from manual…

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PydanticAI

PydanticAI is a Python framework for building type-safe, production-grade AI agents, developed by the creators of…

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Model Serving

Model serving is the critical engineering discipline of deploying trained AI models as production-grade, low-latency,…

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vLLM

vLLM is the industry-leading open-source library for high-throughput, memory-efficient LLM inference and serving.…

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Quantization

Quantization is the process of reducing the numerical precision of model weights and/or activations, from FP32 or BF16…

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Multimodal AI

Multimodal AI represents the frontier of machine learning in 2026, systems that process, reason about, and generate…

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