Update index.html

index.html

@@ -94,39 +94,31 @@
   <div id="score">Score: 0</div>
 
   <script>
-    const categories = [
-      "Generative AI Fundamentals",
-      "Machine Learning & Deep Learning",
-      "Foundation Models & Transformers",
-      "Vector Embeddings & LLMs",
-      "AI Risks & Hallucinations"
-    ];
-
     const questions = [
       [
         { q: "What is Generative AI?", a: ["AI that creates new data similar to training data", "A rule-based expert system", "A basic search algorithm"], correct: 0 },
-        { q: "Which area of AI does Generative AI belong to?", a: ["Deep Learning", "Symbolic AI", "Database Management"], correct: 1 },
-        { q: "What problem does Generative AI solve?", a: ["Inverse problem of classification", "Sorting algorithms", "Data compression"], correct: 2 }
+        { q: "Which area of AI does Generative AI belong to?", a: ["Symbolic AI", "Deep Learning", "Database Management"], correct: 1 },
+        { q: "What problem does Generative AI solve?", a: ["Sorting algorithms", "Data compression", "Inverse problem of classification"], correct: 2 }
       ],
       [
-        { q: "What is the primary difference between Discriminative and Generative models?", a: ["Generative models learn data distribution", "Discriminative models generate new data", "They are identical"], correct: 0 },
-        { q: "Which is NOT an example of a foundation model?", a: ["Linear Regression", "GPT-4", "BERT"], correct: 1 },
-        { q: "Which ML technique is used to train Generative AI?", a: ["Supervised Learning", "Unsupervised Learning", "Linear Regression"], correct: 2 }
+        { q: "What is the primary difference between Discriminative and Generative models?", a: ["Discriminative models generate new data", "They are identical", "Generative models learn data distribution"], correct: 2 },
+        { q: "Which is NOT an example of a foundation model?", a: ["GPT-4", "BERT", "Linear Regression"], correct: 2 },
+        { q: "Which ML technique is used to train Generative AI?", a: ["Linear Regression", "Unsupervised Learning", "Supervised Learning"], correct: 2 }
       ],
       [
-        { q: "What key technology underpins Transformer models?", a: ["Attention Mechanism", "Markov Chains", "Decision Trees"], correct: 0 },
-        { q: "Which company introduced the Transformer architecture?", a: ["Google", "Microsoft", "OpenAI"], correct: 1 },
-        { q: "What makes Transformer models scalable?", a: ["Parallelization", "More CPU cores", "Sequential execution"], correct: 2 }
+        { q: "What key technology underpins Transformer models?", a: ["Markov Chains", "Decision Trees", "Attention Mechanism"], correct: 2 },
+        { q: "Which company introduced the Transformer architecture?", a: ["Microsoft", "OpenAI", "Google"], correct: 2 },
+        { q: "What makes Transformer models scalable?", a: ["More CPU cores", "Sequential execution", "Parallelization"], correct: 2 }
       ],
       [
-        { q: "What are vector embeddings used for?", a: ["Representing words numerically", "Sorting files", "Data encryption"], correct: 0 },
-        { q: "Which method is used to store vector embeddings?", a: ["Vector Databases", "Excel Sheets", "Data Frames"], correct: 1 },
-        { q: "Which AI model uses vector embeddings heavily?", a: ["Large Language Models (LLMs)", "Decision Trees", "Clustering Models"], correct: 2 }
+        { q: "What are vector embeddings used for?", a: ["Sorting files", "Representing words numerically", "Data encryption"], correct: 1 },
+        { q: "Which method is used to store vector embeddings?", a: ["Excel Sheets", "Vector Databases", "Data Frames"], correct: 1 },
+        { q: "Which AI model uses vector embeddings heavily?", a: ["Clustering Models", "Large Language Models (LLMs)", "Decision Trees"], correct: 1 }
       ],
       [
-        { q: "What is AI hallucination?", a: ["Generating incorrect or fabricated information", "A sleep disorder", "Overfitting"], correct: 0 },
-        { q: "How can AI hallucinations be reduced?", a: ["Better data and fine-tuning", "Increasing randomness", "Removing training data"], correct: 1 },
-        { q: "Which is a risk of Generative AI?", a: ["Misinformation", "Better accuracy", "Improved efficiency"], correct: 2 }
+        { q: "What is AI hallucination?", a: ["Overfitting", "A sleep disorder", "Generating incorrect or fabricated information"], correct: 2 },
+        { q: "How can AI hallucinations be reduced?", a: ["Better data and fine-tuning", "Removing training data", "Increasing randomness"], correct: 0 },
+        { q: "Which is a risk of Generative AI?", a: ["Better accuracy", "Improved efficiency", "Misinformation"], correct: 2 }
       ]
     ];