Fundamentals
5 articles
Beginner fundamentals 6 min
What Is a Large Language Model (LLM)?
A clear, developer-friendly explanation of what large language models are, how they work, and why they matter for building AI applications.
#llm
#large-language-model
#gpt
Beginner fundamentals 5 min
What Is an AI Agent? From LLMs to Autonomous Systems
Understand what makes an AI agent different from a chatbot. Covers the Perceive-Plan-Act loop, tool use, memory, and why agents matter for developers.
#ai-agent
#llm
#autonomous
Intermediate fundamentals 4 min
The Transformer Architecture Explained for Developers
Understand the transformer: self-attention, multi-head attention, positional encoding, and how it enables GPT-4 and Claude — explained with code.
#transformer
#attention
#self-attention
Beginner fundamentals 5 min
What Is RAG? Retrieval-Augmented Generation Explained
Understand RAG (Retrieval-Augmented Generation): how it works, why it solves LLM hallucination, and when to use it. Includes a minimal working example.
#rag
#retrieval-augmented-generation
#vector-database
Intermediate fundamentals 3 min
Prompt Engineering for AI Agents: Techniques That Actually Work
Learn prompt engineering for AI agents: chain-of-thought, few-shot prompting, system prompts, structured output, and ReAct patterns.
#prompt-engineering
#llm
#agents