76 lines
2.9 KiB
HTML
76 lines
2.9 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>AI Cheat Sheet</title>
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<link rel="stylesheet" href="css/style.css">
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</head>
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<body>
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<nav>
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<div class="nav-inner">
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<a href="index.html" class="nav-brand active">AI Cheat Sheet</a>
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<div class="nav-links">
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<a href="pages/terminology.html">Terminology</a>
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<a href="pages/techniques.html">Techniques</a>
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<a href="pages/use-cases.html">Use Cases</a>
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<a href="pages/model-types.html">Model Types</a>
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<a href="pages/prompts.html">Prompt Guide</a>
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<a href="pages/math.html">Math & Concepts</a>
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</div>
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</div>
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</nav>
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<div class="hero">
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<h1>AI Cheat Sheet</h1>
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<p>Your quick reference for artificial intelligence terminology, techniques, and real-world applications.</p>
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</div>
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<div class="container">
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<h2 class="section-title">Browse Topics</h2>
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<div class="cards">
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<div class="card">
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<h3>📖 Terminology</h3>
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<p>Key AI terms from ML and NLP — supervised learning, fine-tuning, tokens, embeddings, and more.</p>
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</div>
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<div class="card">
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<h3>⚙️ Techniques</h3>
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<p>How AI models are trained and improved — backpropagation, RLHF, quantization, RAG, and more.</p>
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</div>
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<div class="card">
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<h3>🎯 Use Cases</h3>
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<p>Where AI is used in the real world — healthcare, finance, creative work, customer support, and more.</p>
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</div>
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<div class="card">
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<h3>🤖 Model Types</h3>
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<p>LLMs, diffusion models, CNNs, GANs, transformers, and other AI architectures explained.</p>
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</div>
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<div class="card">
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<h3>✍️ Prompt Engineering</h3>
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<p>How to write effective prompts — zero-shot, few-shot, chain-of-thought, and structured prompts.</p>
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</div>
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<div class="card">
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<h3>📐 Math & Concepts</h3>
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<p>Underlying concepts — loss functions, attention, temperature, perplexity, and accuracy metrics.</p>
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</div>
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</div>
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<h2 class="section-title">Quick Start</h2>
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<div class="def-card">
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<span class="category">Core Concept</span>
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<h3>What is Artificial Intelligence?</h3>
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<p>AI refers to computer systems designed to perform tasks that normally require human intelligence — including learning, reasoning, problem-solving, perception, and language understanding. Modern AI is powered by machine learning, where models learn patterns from data rather than following explicit rules.</p>
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</div>
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<div class="def-card">
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<span class="category">Quick Fact</span>
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<h3>LLM vs Traditional ML</h3>
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<p>Traditional ML models are built for one specific task (e.g., classify spam). Large Language Models are general-purpose — trained on massive text corpora to understand and generate human language across countless tasks.</p>
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</div>
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</div>
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<footer>AI Cheat Sheet — A learning reference for artificial intelligence</footer>
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</body>
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</html>
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