From de34ee906730ea3fb2acf9d41b5a99ae72637d42 Mon Sep 17 00:00:00 2001 From: ducoterra Date: Tue, 5 May 2026 07:14:50 -0400 Subject: [PATCH] add chat link to index.html --- css/style.css | 15 ++++++++++- index.html | 68 ++++++++++++++++++++++++++++++++----------------- pages/chat.html | 2 +- 3 files changed, 59 insertions(+), 26 deletions(-) diff --git a/css/style.css b/css/style.css index 360b4bd..991e790 100644 --- a/css/style.css +++ b/css/style.css @@ -132,6 +132,18 @@ nav { border-color: var(--pink-400); } +.card-link { + text-decoration: none; + color: inherit; + display: block; +} + +.card-link:hover .card { + transform: translateY(-4px); + box-shadow: 0 15px 35px rgba(255,20,147,0.25); + border-color: var(--pink-400); +} + .card h3 { color: var(--pink-600); font-size: 1.2rem; @@ -383,7 +395,8 @@ footer { box-shadow: 0 10px 25px rgba(0,0,0,0.3), 0 4px 10px rgba(255,20,147,0.08); } -[data-theme="dark"] .card:hover { +[data-theme="dark"] .card:hover, +[data-theme="dark"] .card-link:hover .card { box-shadow: 0 15px 35px rgba(0,0,0,0.4), 0 4px 10px rgba(255,20,147,0.15); border-color: var(--border-accent); } diff --git a/index.html b/index.html index f471ae5..99488d3 100644 --- a/index.html +++ b/index.html @@ -55,30 +55,42 @@

Browse Topics

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📖 Terminology

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Key AI terms from ML and NLP — supervised learning, fine-tuning, tokens, embeddings, and more.

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⚙️ Techniques

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How AI models are trained and improved — backpropagation, RLHF, quantization, RAG, and more.

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🎯 Use Cases

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Where AI is used in the real world — healthcare, finance, creative work, customer support, and more.

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🤖 Model Types

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LLMs, diffusion models, CNNs, GANs, transformers, and other AI architectures explained.

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✍️ Prompt Engineering

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How to write effective prompts — zero-shot, few-shot, chain-of-thought, and structured prompts.

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📐 Math & Concepts

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Underlying concepts — loss functions, attention, temperature, perplexity, and accuracy metrics.

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📖 Terminology

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Key AI terms from ML and NLP — supervised learning, fine-tuning, tokens, embeddings, and more.

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⚙️ Techniques

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How AI models are trained and improved — backpropagation, RLHF, quantization, RAG, and more.

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🎯 Use Cases

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Where AI is used in the real world — healthcare, finance, creative work, customer support, and more.

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🤖 Model Types

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LLMs, diffusion models, CNNs, GANs, transformers, and other AI architectures explained.

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✍️ Prompt Engineering

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How to write effective prompts — zero-shot, few-shot, chain-of-thought, and structured prompts.

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📐 Math & Concepts

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Underlying concepts — loss functions, attention, temperature, perplexity, and accuracy metrics.

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Quick Start

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LLM vs Traditional ML

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.

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Interactive

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💬 Chat

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Try AI right now — ask questions, brainstorm ideas, get explanations, or just experiment. Powered by a real LLM API.

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+ diff --git a/pages/chat.html b/pages/chat.html index e7c72ef..17b59ce 100644 --- a/pages/chat.html +++ b/pages/chat.html @@ -10,7 +10,7 @@