Generative AI Guides & Tutorials

Practical guides to LLMs, RAG, agents, prompt engineering and the modern Gen AI stack used in production today.

Generative AI articles

• What Is Generative AI? A Complete Beginner's Guide — What Is Generative AI? A Complete Beginner's Guide — A beginner-friendly explanation with real examples and use cases.
• ChatGPT Complete Guide: Features, Prompts and Use Cases — ChatGPT Complete Guide: Features, Prompts and Use Cases — A practical, example-led guide you can apply right away.
• RAG Architecture Explained: Retrieval-Augmented Generation — RAG Architecture Explained: Retrieval-Augmented Generation — A practical, example-led guide you can apply right away.
• LangChain Tutorial: Build Your First LLM App — LangChain Tutorial: Build Your First LLM App — A practical, example-led guide you can apply right away.
• LangGraph Tutorial: Building Stateful AI Agents — LangGraph Tutorial: Building Stateful AI Agents — A practical, example-led guide you can apply right away.
• AI Agents Guide: How Autonomous Agents Actually Work — AI Agents Guide: How Autonomous Agents Actually Work — A practical, example-led guide you can apply right away.
• Model Context Protocol (MCP) Explained for Beginners — Model Context Protocol (MCP) Explained for Beginners — A practical, example-led guide you can apply right away.
• Prompt Engineering: Techniques That Actually Improve Output — Prompt Engineering: Techniques That Actually Improve Output — A practical, example-led guide you can apply right away.
• Vector Databases Explained: Pinecone, FAISS and ChromaDB — Vector Databases Explained: Pinecone, FAISS and ChromaDB — A practical, example-led guide you can apply right away.
• Agentic AI Roadmap 2026: From Prompts to Autonomous Systems — Agentic AI Roadmap 2026: From Prompts to Autonomous Systems — A step-by-step roadmap with skills, tools and a realistic timeline.
• How Large Language Models (LLMs) Work Under the Hood — How Large Language Models (LLMs) Work Under the Hood — A practical, example-led guide you can apply right away.
• Fine-Tuning vs RAG: Which Should You Choose? — Fine-Tuning vs RAG: Which Should You Choose? — A clear, practical comparison to help you decide.
• Embeddings Explained: The Foundation of Modern AI — Embeddings Explained: The Foundation of Modern AI — A practical, example-led guide you can apply right away.
• Building a Document Q&A Chatbot with RAG — Building a Document Q&A Chatbot with RAG — A practical, example-led guide you can apply right away.
• LoRA and QLoRA: Efficient Fine-Tuning Explained — LoRA and QLoRA: Efficient Fine-Tuning Explained — A practical, example-led guide you can apply right away.
• Hugging Face Transformers: A Practical Getting-Started Guide — Hugging Face Transformers: A Practical Getting-Started Guide — A practical, example-led guide you can apply right away.
• Tokenization in LLMs: Why It Matters More Than You Think — Tokenization in LLMs: Why It Matters More Than You Think — A practical, example-led guide you can apply right away.
• Top Generative AI Tools Every Developer Should Know in 2026 — Top Generative AI Tools Every Developer Should Know in 2026 — A practical, example-led guide you can apply right away.
• Open-Source LLMs vs Closed Models: A 2026 Comparison — Open-Source LLMs vs Closed Models: A 2026 Comparison — A clear, practical comparison to help you decide.
• How to Reduce LLM Hallucinations in Production — How to Reduce LLM Hallucinations in Production — A practical, example-led guide you can apply right away.
• Multimodal AI: Models That See, Hear and Speak — Multimodal AI: Models That See, Hear and Speak — A practical, example-led guide you can apply right away.
• Building AI Agents with LangGraph: A Hands-On Tutorial — Building AI Agents with LangGraph: A Hands-On Tutorial — A practical, example-led guide you can apply right away.
• Semantic Search vs Keyword Search: What Changed with AI — Semantic Search vs Keyword Search: What Changed with AI — A clear, practical comparison to help you decide.
• Chunking Strategies for RAG: Getting Retrieval Right — Chunking Strategies for RAG: Getting Retrieval Right — A practical, example-led guide you can apply right away.
• Evaluating LLM Outputs: Metrics, Tools and Best Practices — Evaluating LLM Outputs: Metrics, Tools and Best Practices — A practical, example-led guide you can apply right away.
• Prompt Injection and LLM Security: What You Need to Know — Prompt Injection and LLM Security: What You Need to Know — A practical, example-led guide you can apply right away.
• Function Calling and Tool Use in LLMs Explained — Function Calling and Tool Use in LLMs Explained — A practical, example-led guide you can apply right away.
• Building a Customer Support Bot with LLMs — Building a Customer Support Bot with LLMs — A practical, example-led guide you can apply right away.
• Generative AI for Images: Diffusion Models Explained — Generative AI for Images: Diffusion Models Explained — A practical, example-led guide you can apply right away.
• How to Become a Generative AI Engineer in 2026 — How to Become a Generative AI Engineer in 2026 — A practical, example-led guide you can apply right away.
• Generative AI Salary in India 2026: Roles and Pay — Generative AI Salary in India 2026: Roles and Pay — Up-to-date salary ranges, the factors that move pay, and how to earn more.
• Ollama Tutorial: Run LLMs Locally on Your Machine — Ollama Tutorial: Run LLMs Locally on Your Machine — A practical, example-led guide you can apply right away.
• vLLM and Model Serving: Scaling LLM Inference — vLLM and Model Serving: Scaling LLM Inference — A practical, example-led guide you can apply right away.
• Context Windows Explained: Tokens, Limits and Costs — Context Windows Explained: Tokens, Limits and Costs — A practical, example-led guide you can apply right away.
• Chain-of-Thought Prompting: Making LLMs Reason — Chain-of-Thought Prompting: Making LLMs Reason — A practical, example-led guide you can apply right away.
• Few-Shot vs Zero-Shot Prompting: A Practical Guide — Few-Shot vs Zero-Shot Prompting: A Practical Guide — A clear, practical comparison to help you decide.
• Knowledge Graphs and RAG: Combining Structure with Search — Knowledge Graphs and RAG: Combining Structure with Search — A practical, example-led guide you can apply right away.
• Guardrails for LLMs: Keeping AI Apps Safe and On-Topic — Guardrails for LLMs: Keeping AI Apps Safe and On-Topic — A practical, example-led guide you can apply right away.
• AI Coding Assistants: How to Use Them Effectively — AI Coding Assistants: How to Use Them Effectively — A practical, example-led guide you can apply right away.
• Building a Multi-Agent System: Patterns and Pitfalls — Building a Multi-Agent System: Patterns and Pitfalls — A practical, example-led guide you can apply right away.
• LlamaIndex vs LangChain: Which Framework to Pick — LlamaIndex vs LangChain: Which Framework to Pick — A clear, practical comparison to help you decide.
• Cost Optimization for LLM Applications in Production — Cost Optimization for LLM Applications in Production — A practical, example-led guide you can apply right away.
• Synthetic Data Generation with LLMs: A Practical Guide — Synthetic Data Generation with LLMs: A Practical Guide — A practical, example-led guide you can apply right away.
• Speech-to-Text and Text-to-Speech with Modern AI — Speech-to-Text and Text-to-Speech with Modern AI — A practical, example-led guide you can apply right away.
• Retrieval Evaluation: Measuring RAG Quality — Retrieval Evaluation: Measuring RAG Quality — A practical, example-led guide you can apply right away.
• Top Generative AI Projects to Build for Your Portfolio — Top Generative AI Projects to Build for Your Portfolio — Hands-on project ideas with datasets, scope and what to showcase.
• Prompt Templates and Versioning: Managing Prompts at Scale — Prompt Templates and Versioning: Managing Prompts at Scale — A practical, example-led guide you can apply right away.
• How Transformers Changed AI: Attention Explained — How Transformers Changed AI: Attention Explained — A practical, example-led guide you can apply right away.
• Deploying a Gen AI App on the Cloud: A Walkthrough — Deploying a Gen AI App on the Cloud: A Walkthrough — A practical, example-led guide you can apply right away.
• Generative AI Interview Questions and How to Answer Them — Generative AI Interview Questions and How to Answer Them — The questions companies actually ask, with concise model answers.