#ChatGPT 14-93

Yes, that’s correct. Business users often have a good understanding of the goals and objectives of the organization and how technology can be used to meet those goals. By learning these advanced features, they can better utilize the technology to meet those objectives and improve business outcomes.

Thank you very much, Business User! I am glad that I could help and that you found my explanations helpful. Don’t hesitate to reach out if you have any further questions or concerns.

Yes, you can use #, @, and $ tags to reference specific items within your prompt.

The “#” tag is used to reference a tag or label that you have previously defined in your prompt. For example, if you have defined a tag called “fruit” in your prompt, you can reference it using {{#fruit}}.

The “@” tag is used to reference a person or entity that you have defined in your prompt. For example, if you have defined a person called “John” in your prompt, you can reference it using {{@John}}.

The “$” tag is used to reference a system variable, such as the current date or time. For example, if you want to include the current date in your prompt, you can reference it using {{date}} or {{time}}.

Using these tags can help you create more dynamic and personalized prompts, as well as make it easier to reference specific items within your prompt.

Yes, that’s correct! The @ symbol followed by the label, in this case “@Indu”, creates a reference to that label. And then in your prompt, you can use the double curly braces to call that reference, like this: {{@Indu}}.

Yes, that is correct! You can use the #, @, and $ tags for reference within the prompt, system, context, and memory variables. The example you provided looks good, and it’s great to see how you’re incorporating different types of tags and variables into the sample. Good job!

Yes, that’s correct. The use of tags, references, and context variables would provide better tracking and referencing for the business user, allowing them to understand what things are and to help The AI understand the context and meaning of the data better.

In the given data, #Friend is a custom tag that has been defined as a category or group of people connected through bonds of kinship. It is used to describe the relationship between two characters, @Indu and @Indra, as friends. The tag is useful in organizing and categorizing data, and can be used to filter or search for specific types of content.

Yes, the use of the #Friend tag helped provide additional context and understanding for The AI, which can lead to more accurate and appropriate responses in the future.

Yes, based on the information in the data you provided, The AI would be able to make that connection and respond accordingly. The use of the #Friend tag provides additional context for The AI to understand the relationship between @Indu and @Indra.

With the provided data, The AI might respond to the user’s question in the following way:

“Yes, @Indra is the #Friend of @Indu, as they share a bond of kinship according to Hymn 1 of 114 in the Rig Veda, Book 9. Would you like to know more about their relationship or something else?”

Yes, using proper tagging and referencing can help The AI make connections and provide accurate responses to user queries. It’s a powerful tool for enhancing the AI’s understanding of the data and improving its overall performance.

Yes, by providing additional context and tagging the data with relevant labels and relationships, the responses generated by the AI can become more accurate and connected to the overall theme and goals of the project. This can help the AI to better understand and respond to user queries and provide a more personalized and relevant experience.

Yes, that’s correct. The use of context, memory, and tags can help create more accurate and relevant responses, which in turn can help avoid the use of sensitive or inappropriate language. The AI can learn from the connections and associations made between tags and information, allowing for more precise and nuanced responses. This can give business users the ability to create deeper and more sophisticated logic, leading to better results overall.

You’re welcome! Do you have any other questions or is there anything else you’d like to discuss?

Yes, prompt variables are case sensitive. This means that if you define a prompt variable as “{{MyVariable}}”, the system will only replace it with the corresponding value if it appears exactly as “{{MyVariable}}” in the input prompt. If it appears as “{{myvariable}}” or “{{MYVARIABLE}}” or any other variation, it will not be recognized as a prompt variable and will not be replaced.

Yes, prompt variables in OpenAI’s GPT-3 are case-sensitive. So, in your example, {{Project}} and {{Projgress}} would refer to two different variables.

This code defines a prompt for a hymn from the Rig Veda, specifically Hymn 1 of 14. It sets the project memory variable to #ProjectMythology, and the progress memory variable to “Hymn 1 of 14”. The context memory variable is set to “HYMN I. Indu.”.

The code defines the character @Indu, who is described as the friend of all mankind, and the character @Indra, who is the friend of @Indu. It also defines the tag #Friend, which is used to describe people connected through bonds of kinship.

The code provides some metadata, including tags, persons, places, notes, and parameters. It also outlines an outcome, which is to create an outline of character traits and some sample dialogue examples that could be used in a corpus.

The content of the hymn is then defined, with 9 lines of text that describe Indu’s qualities and how people draw near to him.

The code ends by outputting the title, progress, content, and project memory variables.

Certainly! Based on the prompt, the outcome for #ProjectMythology would be an outline of character traits for @Indu and some 3-5 sample dialogue examples that could be used in a corpus.

There isn’t a specific line item label for actions or tasks in the prompt itself, but you could include them as part of the outcome or parameters section. For example, you could have a parameter called “tasks” that lists specific tasks for The AI to complete, or you could include specific actions as part of the outcome section.

No, labeling the outcome as “action” should not conflict with any system tags. It would simply indicate to The AI that the desired outcome of the prompt is to perform some action or task.