2024 chatgpt update

2026-05-01 14:33:54 +07:00 · 2024-05-06 10:24:52 +03:00
parent 6e6445d44a
commit c8302bf3ae
8709 changed files with 190023 additions and 18711 deletions
@@ -1,5 +1,5 @@

-[![Multiple choice quiz generator](https://flow-prompt-covers.s3.us-west-1.amazonaws.com/icon/realistic/real_1.png)](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22PVAQ7e8kglwUrLe0u07lm%22%2C%22flow%22%3Atrue%7D%7D)
+
 # Multiple choice quiz generator | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22PVAQ7e8kglwUrLe0u07lm%22%2C%22flow%22%3Atrue%7D%7D)
 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.

@@ -34,6 +34,125 @@ The text delimited in triple backticks:
  ```{{text}}``` 
 ```

+## Welcome Message
+{
+
+  "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."
+
+    }
+
+  ]
+
+}
+
 ## Conversation

 **ASSISTANT**: {
@@ -154,4 +273,3 @@ The text delimited in triple backticks:

 }

-