Tutorial de ingeniería rápida: respuestas maestras de ChatGPT y LLM

In this tutorial, the instructor introduces the course at 00:00, then explains what rapid engineering is at 01:31. At 02:17, they provide an introduction to AI, followed by a discussion on why machine learning is useful at 03:52. The session continues with a look at linguistics at 06:36 and an overview of language models at 08:04. At 14:35, the instructor explores the mindset of immediate engineering, and at 15:38 they demonstrate how to use GPT‑4. Best practices are covered at 20:41, while zero‑shot and few‑shot prompting techniques are discussed at 31:20. The topic of AI hallucinations is addressed at 35:06, and text vectors and embeddings are explained at 36:43. Finally, a summary is provided at 40:28.