AI से जुड़े प्रश्न, स्पष्ट उत्तर
कृत्रिम बुद्धिमत्ता, मशीन लर्निंग, न्यूरल नेटवर्क और बड़े भाषा मॉडल की सरल व्याख्या। अवधारणाएँ समझें, वास्तविक उदाहरण देखें और इंटरैक्टिव डेमो के साथ प्रयोग करें।
12 प्रश्न
AI की बुनियाद5 मिनट पढ़ें
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.
मशीन लर्निंग4 मिनट पढ़ें
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.
मशीन लर्निंग5 मिनट पढ़ें
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.
डीप लर्निंग4 मिनट पढ़ें
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.
AI की बुनियाद4 मिनट पढ़ें
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.
मशीन लर्निंग4 मिनट पढ़ें
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.
AI की बुनियाद4 मिनट पढ़ें
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.
बड़े भाषा मॉडल4 मिनट पढ़ें
Why Do AI Models Hallucinate?
Why plausible text is not verified text, how grounding and abstention help, and why hallucination cannot be eliminated entirely.
बड़े भाषा मॉडल4 मिनट पढ़ें
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.
बड़े भाषा मॉडल4 मिनट पढ़ें
What Is Top-p Sampling?
How the nucleus is chosen, a worked probability example, and how top-p interacts with temperature and top-k.
बड़े भाषा मॉडल4 मिनट पढ़ें
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.
AI की बुनियाद4 मिनट पढ़ें
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.