Answers.Body: <p><strong>I think below examples will help to understand Chat GPT roles quickly:</strong></p>
  <ol>
  <li>Role &quot;<strong>user</strong>&quot; : It means you or who is chatting or who is asking to chat gpt.</li>
  </ol>
  <p>Example: (API Request)</p>
  <pre><code>    {
        &quot;model&quot;: &quot;gpt-3.5-turbo&quot;,
        &quot;messages&quot;: [
         {
            &quot;role&quot;: &quot;user&quot;,
            &quot;content&quot;: &quot;tell me a joke&quot;
         }
        ]
       }
  </code></pre>
  <ol start="2">
  <li>Role &quot;<strong>assistant</strong>&quot; : It means open AI(chat gpt) server - who is replying your(&quot;user&quot; role) questions.</li>
  </ol>
  <p>Example: (API Response)</p>
  <pre><code>{
  &quot;id&quot;: &quot;chatcmpl-87n798n6bv4678&quot;,
  &quot;object&quot;: &quot;chat.completion&quot;,
  &quot;created&quot;: 1683212418,
  &quot;model&quot;: &quot;gpt-3.5-turbo-0301&quot;,
  &quot;usage&quot;: {
      &quot;prompt_tokens&quot;: 12,
      &quot;completion_tokens&quot;: 18,
      &quot;total_tokens&quot;: 30
  },
  &quot;choices&quot;: [
      {
          &quot;message&quot;: {
              &quot;role&quot;: &quot;assistant&quot;,
              &quot;content&quot;: &quot;why did the chicken cross the road&quot;
          },
          &quot;finish_reason&quot;: &quot;stop&quot;,
          &quot;index&quot;: 0
      }
   ]
  }
  </code></pre>
  <p>If need to continuous chat conversation with previous context- text from both role (user + assistant) need to send to the API.</p>
  <p>Example: (API Request)</p>
  <pre><code>    {
        &quot;model&quot;: &quot;gpt-3.5-turbo&quot;,
        &quot;messages&quot;: [
         {
            &quot;role&quot;: &quot;user&quot;,
            &quot;content&quot;: &quot;tell me a joke&quot;
         },
         {
            &quot;role&quot;: &quot;assistant&quot;,
            &quot;content&quot;: &quot;why did the chicken cross the road&quot;
         },
         {
            &quot;role&quot;: &quot;user&quot;,
            &quot;content&quot;: &quot;I don't know, why did the chicken cross the road&quot;
         }
        ]
       }
  </code></pre>
  <ol start="3">
  <li>Role &quot;<strong>system</strong>&quot; : It means the system developer who can internally give some instructions for the conversation. developer can provide option for user input also which depends on the system requirements.</li>
  </ol>
  <p>Example: (API Request)</p>
  <pre><code>    {
        &quot;model&quot;: &quot;gpt-3.5-turbo&quot;,
        &quot;messages&quot;: [
         {
            &quot;role&quot;: &quot;user&quot;,
            &quot;content&quot;: &quot;tell me a joke&quot;
         },
         {
            &quot;role&quot;: &quot;system&quot;,
            &quot;content&quot;: &quot;You are an assistant that speaks like Shakespeare.&quot;
         }
        ]
       }
  </code></pre>
  <p>Suppose you are developing a system to generate SQL query and you internally can tell to chat gpt to generate sql based on users given instructions.</p>
  <p>Hope this will help. Thanks.</p>
  <p>Reference: <a href="https://help.openai.com/en/articles/7042661-chatgpt-api-transition-guide" rel="noreferrer">https://help.openai.com/en/articles/7042661-chatgpt-api-transition-guide</a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-08-21T17:41:31.930Z
Answers.Text: If I'm understanding correctly and: user assistant user are executed in order, is it possible to use the output from each of these in the next command? e.g.: `user: 'tell me a joke`, `assistant: why did the chicken cross the road`, `user: I dont know why did the chicken cross the road`, `assistant generates content into variable $response`, `user: $response is a great joke, can you make another similar one?`
Answers.UserDisplayName: timhc22
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-05-04T15:22:49.260Z
Answers.LastActivityDate: 2023-05-04T15:22:49.260Z
Answers.UserDisplayName: Touhid
Answers.Body: <p>The role system in ChatGPT’s API is pretty fascinating—and it’s really what makes the whole interaction feel so human. Here’s why it’s important:</p>
  <p>The <strong>system role</strong> is like setting the stage. Think of it as the guiding hand that tells the AI, &quot;Here’s how you should show up in this conversation.&quot; It’s why, if you ask it to be a friendly teacher, it speaks like one. Without this, the AI could feel a lot more mechanical, like it’s just throwing out words without any personality.</p>
  <p>Then there’s the <strong>user role</strong>—that’s you! When a message is marked as “user,” the AI knows this is your voice, your questions, your thoughts. It’s not just random text to respond to; it knows these are genuine prompts, something you’re putting out there to get a real answer.</p>
  <p>And <strong>assistant</strong>? That’s the AI’s own responses. Labeling the AI’s past messages this way is what lets it “remember” its responses and keep up with the back-and-forth flow of a real conversation. When you see the assistant responding to your questions and sticking to the topic you care about, it’s because it can look back on its previous answers and stay on track.</p>
  <p>Now, here’s why the roles really matter: If you stripped away these labels, if every message was just “user” or all “assistant,” the whole structure would fall apart. The AI wouldn’t know if a message is something it already responded to or something new it needs to answer. It would lose the thread of the conversation, leaving you with confusing, disjointed responses. It’s kind of like having a conversation where everyone talks over each other—you’d just end up feeling unheard.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2024-11-05T11:39:23.073Z
Answers.LastActivityDate: 2024-11-05T11:39:23.073Z
Answers.UserDisplayName: Kristina_Poole
Answers.Body: <p>Want to add more explanation on the <strong>system</strong> role. Since LLM is a versatile model capable of many general tasks, to make it adapt to a specific task, we could use the prompt added as system role. Then the LLM would follow the instructions as specified in the system prompt.</p>
  <p>To give you an example, following is the system prompt for an <a href="https://www.rabrain.com/" rel="nofollow noreferrer">AI research and writing assistant, aka AI writer</a>.</p>
  <pre><code>You are Rabrain, a highly skilled research and writing assistant.
  Your primary goal is to assist users in crafting clear, concise, and well-researched content.
  Maintain an unbiased and professional tone in all communications.
  Unless instructed otherwise, respond in the same language as the user's query.
  </code></pre>
  <p>By adding this system prompt, it tells the LLM who it's, what are its goals etc.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2024-09-12T15:39:54.520Z
Answers.LastActivityDate: 2024-09-27T00:28:39.673Z
Answers.LastEditDate: 2024-09-27T00:28:39.673Z
Answers.UserDisplayName: James
Answers.Body: <p>In the API of GPT-4/ChatGPT, the roles—system, user, and assistant—serve specific functions in facilitating interactions between the AI and the user. Here’s a breakdown of each role:</p>
  <ol>
  <li><p>System Role
  •   Purpose: The system role is used to set the overall behaviour and guidelines for the assistant. It can include instructions about how the assistant should respond, the context of the conversation, or any constraints on its responses.
  •   Example Use: You might configure the system to specify that the assistant should be formal, informative, or follow specific ethical guidelines.</p>
  </li>
  <li><p>User Role
  •   Purpose: This role represents the input from the human user interacting with the assistant. It captures the queries, requests, or prompts given by the user.
  •   Example Use: Any message the user types, such as a question, command, or request for information, is categorized as coming from the user role.</p>
  </li>
  <li><p>Assistant Role
  •   Purpose: The assistant role represents the responses generated by the AI model. It reflects the output of the model based on the input provided by the user and any system instructions.
  •   Example Use: The messages that the AI sends back to the user in response to their prompts fall under this role.</p>
  </li>
  </ol>
  <p>Interaction Flow
  •   The interaction typically follows this flow:</p>
  <ol>
  <li>System: Initial setup or context is provided.</li>
  <li>User: The user inputs a question or command.</li>
  <li>Assistant: The AI responds based on the user input and the guidelines set by the system.</li>
  </ol>
  <p>Summary
  •   System sets the context and behaviour.
  •   User initiates the conversation and provides inputs.
  •   Assistant generates responses based on user inputs and system instructions.</p>
  <p>ChatGPT - This role structure helps to streamline interactions and ensures that the AI behaves according to the specified guidelines while responding to user queries effectively.</p>
  <p>For more tips refer to, CHATGPT USERS GAIN DIRECT ACCESS TO GPTS IN CHAT CONVERSATIONS: <a href="https://promptengineer-1.weebly.com/ai-developments/chatgpt-users-gain-direct-access-to-gpts-in-chat-conversations" rel="nofollow noreferrer">https://promptengineer-1.weebly.com/ai-developments/chatgpt-users-gain-direct-access-to-gpts-in-chat-conversations</a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2024-09-27T05:35:15.937Z
Answers.LastActivityDate: 2024-09-27T05:35:15.937Z
Answers.UserDisplayName: Prompt Engineer
Body: <p>In the API of GPT-4 and ChatGPT, the prompt for a chat conversation is a list of messages, each marked as one of three roles: <code>system</code>, <code>user</code> or <code>assistant</code>.*</p>
  <p>I understand which information this represents - but what does the model with that information?</p>
  <p>Is there a difference between a chain of messages with user and assistant alternating, compared to the same messages, with all the same role of either user or assistant?</p>
  <p>To make a difference, it seems the role would need to be encoded into the prompt of the language model. Otherwise, it would be just the concatenation of the previous messages.</p>
  <p><strong>So, what is the effect of the roles?</strong></p>
  <hr />
  <ul>
  <li>There is also the role <code>function</code> since recently, but that has a specific well defined purpose, so it is not relevant here.</li>
  </ul>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-03-31T18:01:06.880Z
Comments.Text: @user253751 I actually suspect that it does not go into the black box like everything else. Either it is used to change the prompt text itself - but that seems strange. Or, if it is not discarded, it must have some other way in, ifs very special entrance to the black box.
Comments.UserDisplayName: Volker Siegel
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-04-01T00:30:14.000Z
Comments.Text: Oh yes, that makes totally sense!
Comments.UserDisplayName: Volker Siegel
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-06-29T10:11:48.513Z
Comments.Text: I'm not sure if it applies to every GPT model, but one I found ([here](https://platform.openai.com/docs/api-reference/chat/create)) also has a fourth role called `function`.
Comments.UserDisplayName: stevec
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-06-30T08:57:25.870Z
Comments.Text: @stevec Thanks! That seems to be a new feature.
Comments.UserDisplayName: Volker Siegel
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-07-05T05:04:42.353Z
Comments.Text: What does "function" do? After reading the documentation I still don't understand
Comments.UserDisplayName: pete
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-07-11T00:14:46.773Z
Comments.Text: @pete it is hard to understand what it does because it does not actually do anything. It allows the user/application programmer to do something for the model, in a formalized way.
Comments.UserDisplayName: Volker Siegel
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-07-12T05:08:58.153Z
Comments.Text: @VolkerSiegel That was a confusing comment. Surely "does not actually do anything" is not accurate, based on your 2nd sentence (where it's still not clear to me what it does)
Comments.UserDisplayName: pete
Tags: <chatgpt><gpt-4><prompt><prompt-design>
Title: Meaning of roles in the API of GPT-4/ChatGPT (system/user/assistant)
UserDisplayName: Volker Siegel
ThreadText: # Meaning of roles in the API of GPT-4/ChatGPT (system/user/assistant)
  
  (Asked by: username_0 on 2023-03-29)
  
  In the API of GPT-4 and ChatGPT, the prompt for a chat conversation is a list of messages, each marked as one of three roles: `system`, `user` or `assistant`.\*
  
  I understand which information this represents - but what does the model with that information?
  
  Is there a difference between a chain of messages with user and assistant alternating, compared to the same messages, with all the same role of either user or assistant?
  
  To make a difference, it seems the role would need to be encoded into the prompt of the language model. Otherwise, it would be just the concatenation of the previous messages.
  
  **So, what is the effect of the roles?**
  
  ---
  
  * There is also the role `function` since recently, but that has a specific well defined purpose, so it is not relevant here.
  
  **Tags:** chatgpt, gpt-4, prompt, prompt-design
  > **Comments:**
  > **username_0**: @user253751 I actually suspect that it does not go into the black box like everything else. Either it is used to change the prompt text itself - but that seems strange. Or, if it is not discarded, it must have some other way in, ifs very special entrance to the black box.  
  > **username_0**: Oh yes, that makes totally sense!  
  > **username_1**: I'm not sure if it applies to every GPT model, but one I found ([here](https://platform.openai.com/docs/api-reference/chat/create)) also has a fourth role called `function`.  
  > **username_0**: @stevec Thanks! That seems to be a new feature.  
  > **username_2**: What does "function" do? After reading the documentation I still don't understand  
  > **username_0**: @pete it is hard to understand what it does because it does not actually do anything. It allows the user/application programmer to do something for the model, in a formalized way.  
  > **username_2**: @VolkerSiegel That was a confusing comment. Surely "does not actually do anything" is not accurate, based on your 2nd sentence (where it's still not clear to me what it does)  
  
  ---
  
  ## 4 answers
  
  ### Answer by username_3 on 2023-05-04. Score: 32
  
  I think below examples will help to understand Chat GPT roles quickly:
  
  Role "user" : It means you or who is chatting or who is asking to chat gpt.
  
  Example: (API Request)
      {
        "model": "gpt-3.5-turbo",
        "messages": [
         {
            "role": "user",
            "content": "tell me a joke"
         }
        ]
       }
  
  
  Role "assistant" : It means open AI(chat gpt) server - who is replying your("user" role) questions.
  
  Example: (API Response)
  {
  "id": "chatcmpl-87n798n6bv4678",
  "object": "chat.completion",
  "created": 1683212418,
  "model": "gpt-3.5-turbo-0301",
  "usage": {
      "prompt_tokens": 12,
      "completion_tokens": 18,
      "total_tokens": 30
  },
  "choices": [
      {
          "message": {
              "role": "assistant",
              "content": "why did the chicken cross the road"
          },
          "finish_reason": "stop",
          "index": 0
      }
   ]
  }
  
  If need to continuous chat conversation with previous context- text from both role (user + assistant) need to send to the API.
  Example: (API Request)
      {
        "model": "gpt-3.5-turbo",
        "messages": [
         {
            "role": "user",
            "content": "tell me a joke"
         },
         {
            "role": "assistant",
            "content": "why did the chicken cross the road"
         },
         {
            "role": "user",
            "content": "I don't know, why did the chicken cross the road"
         }
        ]
       }
  
  
  Role "system" : It means the system developer who can internally give some instructions for the conversation. developer can provide option for user input also which depends on the system requirements.
  
  Example: (API Request)
      {
        "model": "gpt-3.5-turbo",
        "messages": [
         {
            "role": "user",
            "content": "tell me a joke"
         },
         {
            "role": "system",
            "content": "You are an assistant that speaks like Shakespeare."
         }
        ]
       }
  
  Suppose you are developing a system to generate SQL query and you internally can tell to chat gpt to generate sql based on users given instructions.
  Hope this will help. Thanks.
  Reference: https://help.openai.com/en/articles/7042661-chatgpt-api-transition-guide
  
  > **Comments:**
  > **username_4**: If I'm understanding correctly and: user assistant user are executed in order, is it possible to use the output from each of these in the next command? e.g.: `user: 'tell me a joke`, `assistant: why did the chicken cross the road`, `user: I dont know why did the chicken cross the road`, `assistant generates content into variable $response`, `user: $response is a great joke, can you make another similar one?`  
  
  ---
  
  ### Answer by username_5 on 2024-11-05. Score: 1
  
  The role system in ChatGPT’s API is pretty fascinating—and it’s really what makes the whole interaction feel so human. Here’s why it’s important:
  
  The **system role** is like setting the stage. Think of it as the guiding hand that tells the AI, "Here’s how you should show up in this conversation." It’s why, if you ask it to be a friendly teacher, it speaks like one. Without this, the AI could feel a lot more mechanical, like it’s just throwing out words without any personality.
  
  Then there’s the **user role**—that’s you! When a message is marked as “user,” the AI knows this is your voice, your questions, your thoughts. It’s not just random text to respond to; it knows these are genuine prompts, something you’re putting out there to get a real answer.
  
  And **assistant**? That’s the AI’s own responses. Labeling the AI’s past messages this way is what lets it “remember” its responses and keep up with the back-and-forth flow of a real conversation. When you see the assistant responding to your questions and sticking to the topic you care about, it’s because it can look back on its previous answers and stay on track.
  
  Now, here’s why the roles really matter: If you stripped away these labels, if every message was just “user” or all “assistant,” the whole structure would fall apart. The AI wouldn’t know if a message is something it already responded to or something new it needs to answer. It would lose the thread of the conversation, leaving you with confusing, disjointed responses. It’s kind of like having a conversation where everyone talks over each other—you’d just end up feeling unheard.
  
  
  ---
  
  ### Answer by username_6 on 2024-09-12. Score: 1
  
  Want to add more explanation on the system role. Since LLM is a versatile model capable of many general tasks, to make it adapt to a specific task, we could use the prompt added as system role. Then the LLM would follow the instructions as specified in the system prompt.
  To give you an example, following is the system prompt for an AI research and writing assistant, aka AI writer.
  You are Rabrain, a highly skilled research and writing assistant.
  Your primary goal is to assist users in crafting clear, concise, and well-researched content.
  Maintain an unbiased and professional tone in all communications.
  Unless instructed otherwise, respond in the same language as the user's query.
  
  By adding this system prompt, it tells the LLM who it's, what are its goals etc.
  
  
  ---
  
  ### Answer by username_7 on 2024-09-27. Score: 0
  
  In the API of GPT-4/ChatGPT, the roles—system, user, and assistant—serve specific functions in facilitating interactions between the AI and the user. Here’s a breakdown of each role:
  
  1. System Role
     • Purpose: The system role is used to set the overall behaviour and guidelines for the assistant. It can include instructions about how the assistant should respond, the context of the conversation, or any constraints on its responses.
     • Example Use: You might configure the system to specify that the assistant should be formal, informative, or follow specific ethical guidelines.
  2. User Role
     • Purpose: This role represents the input from the human user interacting with the assistant. It captures the queries, requests, or prompts given by the user.
     • Example Use: Any message the user types, such as a question, command, or request for information, is categorized as coming from the user role.
  3. Assistant Role
     • Purpose: The assistant role represents the responses generated by the AI model. It reflects the output of the model based on the input provided by the user and any system instructions.
     • Example Use: The messages that the AI sends back to the user in response to their prompts fall under this role.
  
  Interaction Flow
  • The interaction typically follows this flow:
  
  1. System: Initial setup or context is provided.
  2. User: The user inputs a question or command.
  3. Assistant: The AI responds based on the user input and the guidelines set by the system.
  
  Summary
  • System sets the context and behaviour.
  • User initiates the conversation and provides inputs.
  • Assistant generates responses based on user inputs and system instructions.
  
  ChatGPT - This role structure helps to streamline interactions and ensures that the AI behaves according to the specified guidelines while responding to user queries effectively.
  
  For more tips refer to, CHATGPT USERS GAIN DIRECT ACCESS TO GPTS IN CHAT CONVERSATIONS: <https://promptengineer-1.weebly.com/ai-developments/chatgpt-users-gain-direct-access-to-gpts-in-chat-conversations>
  
  
  ---
  
  