#if I gave my text in system is it going to spent my token ?

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main flame
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if I gave my text in system is it going to spent my token ?

night nicheBOT
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Hi @main flame. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Yes, the text you provide as system messages in your prompts will consume tokens. In the context of OpenAI's language models, a token can be as short as one character or as long as one word. For example, "a" is one token, "apple" is also one token, and so is "ChatGPT".

In a conversation with the model, every message, including the role (system, user, assistant), the content of the message, and other special characters like brackets and colons, are converted into tokens. Therefore, if your system message is large, it will consume a significant number of tokens, which could increase your costs if it is duplicated across multiple prompts.

However, it's important to note that the system message plays a crucial role in setting the behavior of the assistant in the conversation. If you're fine-tuning the model, the system message can be used to instruct the assistant about its persona or the specific task it needs to perform.

If you're concerned about token usage, you might want to consider ways to reduce the size of your system messages or explore other strategies to manage your token consumption.

Source (https://community.openai.com/t/732907)

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@main flame kapa.ai is still learning and improving, please let us know how it did by reacting below

main flame
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and is it going to remember my texts ? @night niche

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and is it going to remember my texts ? @night niche

night nicheBOT
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Let me check the knowledge base for you. One moment! :books:

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Whether the AI model remembers your texts or not depends on the specific settings and features you're using.

  1. Chat History: In a single conversation, the model has access to the entire conversation history. This means it can use the context of previous messages in the conversation to generate responses. However, once the conversation ends, the model doesn't retain any information from it for future conversations. Each new conversation starts from a blank slate.

  2. Memory Feature: OpenAI has introduced a memory feature for ChatGPT, which allows the model to store and recall information across different sessions. This feature is being rolled out to users and can be managed in the settings. However, it's important to note that this feature is not available in all regions due to regulatory restrictions.

  3. Temporary Chats: If you're using the Temporary Chat feature, the model won't remember anything from the conversation. These chats are deleted from OpenAI's systems within 30 days and won't be used for model training.

  4. Data Controls: If you disable history or opt for Temporary Chats, new chats will be deleted from OpenAI's systems within 30 days and won't be used for model training. Existing conversations will still be saved and may be used for model training if you have not opted out.

Please note that even with the memory feature, the model doesn't have the ability to remember or store personal data unless explicitly instructed to do so. The primary function of the memory feature is to enhance the coherence and relevance of the model's responses in a conversation.

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Sources:

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charred stone
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@night niche hi

night nicheBOT
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Let me check the knowledge base for you. One moment! :books:

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Hello! How can I assist you today?

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@charred stone kapa.ai is still learning and improving, please let us know how it did by reacting below

charred stone
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@night niche Is it new that gpt4o-mini can reference data across all previous chat dialogs in chatgpt?

night nicheBOT
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Let me check the knowledge base for you. One moment! :books:

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No, it's not new that GPT-4o-mini can reference data across all previous chat dialogs in ChatGPT. In fact, none of the GPT models, including GPT-4o-mini, have the ability to reference data across different chat dialogs. Each new conversation with the model starts from a blank slate, and the model doesn't have the ability to remember or access information from previous conversations.

However, within a single conversation, the model does have access to the entire conversation history. This means it can use the context of previous messages in the conversation to generate responses. But once the conversation ends, the model doesn't retain any information from it for future conversations.

Sources:

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