01 - Introduction to Generative AI: From GANs to Large Language Models
Introduction: What is Generative AI Generative Artificial Intelligence represents one of the most significant technological revolutions of recent years. Unlike...
Generative AI: transformer architecture, tokenization, embedding, LLMs, diffusion models, RAG, fine-tuning, RLHF, and AI ethics. From internal workings to production usage.
This series collects 8 articles (approximately 126 minutes of total reading time), designed for a level Advanced. The main topics covered are Generative AI, LLM, transformer, GPT.
Introduction: What is Generative AI Generative Artificial Intelligence represents one of the most significant technological revolutions of recent years. Unlike...
Introduction: Demystifying Large Language Models Large Language Models seem magical: you write a question and get a coherent, well-structured, often insightful answer...
Introduction: The Art of Communicating with LLMs Prompt Engineering is the discipline that studies how to formulate effective requests to Large Language Models...
04 - Fine-Tuning LLMs: LoRA, QLoRA, and PEFT for Model Personalization: Introduction: When Prompt Engineering Is Not Enough Prompt engineering is powerful but has...
Introduzione: Dall'Esperimento alla Produzione Usare un LLM nel playground e semplice. Portarlo in produzione e una sfida ingegneristica completamente diversa.
Introduzione: Creare Immagini dal Nulla La generazione di immagini e uno dei risultati più spettacolari dell'IA generativa.
Introduction: AI as Your Development Partner AI assistants for software development have transformed how we write code. Tools like GitHub Copilot, Claude Code...
Introduction: The Responsibility of Building with AI Generative AI offers extraordinary capabilities, but it carries concrete risks that every developer and builder...
Have you read all the articles? Check how much you've learned by taking this series' quizzes.