Preguntas sobre IA, respondidas con claridad
Explicaciones sencillas sobre inteligencia artificial, aprendizaje automático, redes neuronales y grandes modelos de lenguaje. Aprende los conceptos, ve ejemplos reales y experimenta con demostraciones interactivas.
12 preguntas
Fundamentos de IA5 min de lectura
What Is a Neural Network?
What a neuron computes, why a hidden layer needs a non-linearity, and a worked example you can check on paper.
Aprendizaje automático4 min de lectura
How Does Backpropagation Work?
The chain rule as a credit-assignment algorithm, with a one-weight example you can check by hand and the role of the learning rate.
Aprendizaje automático5 min de lectura
What Is an Embedding in AI?
How meaning becomes geometry, what cosine similarity measures, and why embeddings are the retrieval layer behind modern AI products.
Aprendizaje profundo4 min de lectura
What Is Self-Attention in Transformers?
How tokens decide what to read, the scaled dot-product formula, causal masking and why long context costs quadratic compute.
Fundamentos de IA4 min de lectura
What Is the Difference Between Training and Inference?
What changes in each phase, why inference is cheaper per request, and why chatting with a model does not retrain it.
Aprendizaje automático4 min de lectura
What Is a Loss Function in Machine Learning?
What a loss rewards, how MSE and cross-entropy differ, and why a low training loss is not the same as a good model.
Fundamentos de IA4 min de lectura
What Are Parameters in an AI Model?
What counts as a parameter, a layer-by-layer count you can verify, and what the number does — and does not — tell you.
Grandes modelos de lenguaje4 min de lectura
Why Do AI Models Hallucinate?
Why plausible text is not verified text, how grounding and abstention help, and why hallucination cannot be eliminated entirely.
Grandes modelos de lenguaje4 min de lectura
What Does Temperature Do in an LLM?
The softmax formula behind the dial, what low and high values actually do, and why temperature cannot add knowledge.
Grandes modelos de lenguaje4 min de lectura
What Is Top-p Sampling?
How the nucleus is chosen, a worked probability example, and how top-p interacts with temperature and top-k.
Grandes modelos de lenguaje4 min de lectura
Why Does ChatGPT Give Different Answers to the Same Prompt?
Sampling as the main cause, the other four sources of variation, and the settings that make outputs reproducible enough to test.
Fundamentos de IA4 min de lectura
What Is the Difference Between AI, Machine Learning and Deep Learning?
The nested relationship between the three terms, a concrete example at each level, and why the distinction changes your engineering choices.