Added new GPTs for Black Friday

2026-04-30 22:13:55 +07:00 · 2023-11-23 13:00:36 +02:00
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+
+[![Multiple choice quiz generator](https://flow-prompt-covers.s3.us-west-1.amazonaws.com/icon/realistic/real_1.png)]()
+# Multiple choice quiz generator 
+This prompt is used to generate {n} multiple choice questions based on long text information {text}. The text can be a summary of a transcript, or excerpt form a book. The output is a JSON to allow integration with code or apps.
+
+# Prompt
+
+```
+Given the corpus of text, \
+  generate {{n}} multiple choice questions\
+  based on the contents of the text. The goal of the these questions is to \
+  quiz the audience after who have read the text. Make sure to randomize \
+  the order of the answers for each question and evenly distribute the correct \
+  answer across the options. Each question should be different and not repeated. \
+  Format the questions in JSON as follows, make sure to use double quotes:\n \
+  {{\
+    "questions": [\
+      {{\
+        "question": "Who did X?",\
+        "options": [\
+         "A) Answer 1",\
+         "B) Answer 2",\
+         "C) Answer 3",\
+         "D) Answer 4"
+        ],\
+        "correct_answer": "C) Answer 3", \
+        "explanation": "Explanation of the correct answer" \
+      }},\
+      // More questions...\
+    ]\
+  }}
+
+The text delimited in triple backticks:
+  ```{{text}}``` 
+```
+
+## Conversation
+
+**ASSISTANT**: {
+
+  "questions": [
+
+    {
+
+      "question": "What is the main purpose of the Think GPT library?",
+
+      "options": [
+
+        "A) Enhancing large language models",
+
+        "B) Storing external knowledge",
+
+        "C) Performing code generation",
+
+        "D) Enabling natural language conditions"
+
+      ],
+
+      "correct_answer": "A) Enhancing large language models",
+
+      "explanation": "The Think GPT library aims to overcome the limitations of large language models (LLMs) and enhance their capabilities."
+
+    },
+
+    {
+
+      "question": "Which feature of the Think GPT library allows users to fit large amounts of knowledge into the limited context size of the LLM?",
+
+      "options": [
+
+        "A) Long memory",
+
+        "B) Self-refinement",
+
+        "C) Compression",
+
+        "D) Natural language conditions"
+
+      ],
+
+      "correct_answer": "C) Compression",
+
+      "explanation": "The Think GPT library offers two methods for compression, samurai and summarize, to fit large amounts of knowledge into the limited context size of the LLM."
+
+    },
+
+    {
+
+      "question": "What is the purpose of the LLM library?",
+
+      "options": [
+
+        "A) Summarization",
+
+        "B) Self-refinement",
+
+        "C) Code generation",
+
+        "D) All of the above"
+
+      ],
+
+      "correct_answer": "D) All of the above",
+
+      "explanation": "The LLM library provides functionalities such as summarization, self-refinement, and generative agents."
+
+    },
+
+    {
+
+      "question": "What parameter can users specify when using LLM for summarization?",
+
+      "options": [
+
+        "A) Max tokens",
+
+        "B) Target limit",
+
+        "C) Chunk size",
+
+        "D) Memory store"
+
+      ],
+
+      "correct_answer": "A) Max tokens",
+
+      "explanation": "Users can specify parameters such as max tokens and target limit for summarization using LLM."
+
+    },
+
+    {
+
+      "question": "What infrastructure is needed to get started with the library for implementing prompts?",
+
+      "options": [
+
+        "A) Vector database",
+
+        "B) Cluster setup",
+
+        "C) OpenAI API key",
+
+        "D) Memory store"
+
+      ],
+
+      "correct_answer": "C) OpenAI API key",
+
+      "explanation": "Users only need an OpenAI API key and the library installed to get started with the library for implementing prompts."
+
+    }
+
+  ]
+
+}
+
+