A Practical Guide for Developers Breaking into the AI World
An 8-part series for developers who want to break into the world of artificial intelligence. We start from the basics and work our way up, step by step, to building real projects with AI tools.
A complete map of the AI world: the difference between AI, ML, DL and LLM — three methods of machine learning — why LLMs are revolutionary — the advantage developers have entering AI
CPU vs GPU and why GPU is essential for AI — VRAM and its importance — Quantization for running large models on small hardware — GPU buying and rental guide
Tokens and the challenge of non-English tokenization — Embeddings and semantic algebra — Transformer architecture and Self-Attention — Context Window and its limitations — Text generation process and Temperature
Guide to choosing the right open-source model for your projects
The concept of RAG and why it is essential for real-world projects
Fine-tuning fundamentals and modern techniques like LoRA
