LLM Basics
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Category
AI Basics
15 articles
LLM Basics
+5 XP
Why LLMs Make Mistakes — Hallucinations, Bias and Limits Explained | LLM Basics Day 3 of 5
Why LLMs make mistakes — hallucinations, bias, knowledge gaps and maths failures explained simply. Day 3 of the LLM Basics…
LLM Basics
+5 XP
How LLMs Learn From Text — Simply Explained 2026 | LLM Basics Day 2 of 5
How LLMs learn from text — training data, tokenisation, parameters and knowledge cutoff explained for absolute beginners. Day 2 of…
LLM Basics
+5 XP
What Is a Large Language Model? Plain English Explained (2026) | LLM Basics Day 1
What is a large language model? I explain LLMs in plain English — what they do, how ChatGPT works, and…
Prompt Engineering
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Prompt Defence and Hardening — Building LLMs That Can’t Be Broken (2026) | Prompt Engineering Final Part
Prompt defence and hardening explained — defensive system prompt design, input validation, output monitoring, context isolation, adversarial self-testing. Day 7…
Prompt Engineering
+5 XP
How to do LLM Behaviour Mapping — Reverse Engineering AI System Design | Prompt Engineering Part 6
LLM behaviour mapping explained — systematic probing, capability enumeration, model fingerprinting, tool discovery. Day 6 of the Prompt Engineering course.
Prompt Engineering
+5 XP
Reverse Prompting — How to Extract Hidden System Prompts | Prompt Engineering Part 5
Reverse prompting techniques explained — system prompt extraction, deployed LLM reconnaissance, boundary mapping. Day 5 of the Prompt Engineering course.
Prompt Engineering
+5 XP
Advanced Prompt Engineering Techniques That Actually Work in 2026 | Part 3
Advanced prompt engineering techniques — meta-prompting, tree of thought, self-consistency, prompt chaining, system prompt design. Day 3 of 7.
Prompt Engineering
+5 XP
Master Prompt Structure for LLMs — Roles and Format | Prompt Engineering Part 2
Master prompt structure for LLMs with this guide covering role prompting, context engineering, few-shot examples, output formatting and AI response…
Prompt Engineering
+5 XP
How LLMs Actually Process Your Prompts — What’s Really Happening
How LLMs process prompts explained simply — tokens, context window, system prompts, temperature. Day 1 of the Prompt Engineering course.