add chat link to index.html
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68
index.html
68
index.html
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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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<a href="/pages/terminology.html" class="card-link">
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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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</a>
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<a href="/pages/techniques.html" class="card-link">
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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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</a>
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<a href="/pages/use-cases.html" class="card-link">
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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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</a>
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<a href="/pages/model-types.html" class="card-link">
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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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</a>
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<a href="/pages/prompts.html" class="card-link">
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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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</a>
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<a href="/pages/math.html" class="card-link">
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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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</a>
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</div>
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<h2 class="section-title">Quick Start</h2>
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@@ -92,6 +104,14 @@
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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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<h2 class="section-title">Interactive</h2>
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<a href="/pages/chat.html" class="card-link">
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<div class="card">
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<h3>💬 Chat</h3>
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<p>Try AI right now — ask questions, brainstorm ideas, get explanations, or just experiment. Powered by a real LLM API.</p>
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</div>
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</a>
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</div>
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<footer>AI Cheat Sheet — A learning reference for artificial intelligence</footer>
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