Sure, let’s give it a try. Please provide the prompt.
I apologize for that, it seems like there was an error in processing your request. Can you please try again with the same prompt: talk:@Indu Hi Indu how are you today?
and I will make sure to simulate a response based on the data.
Namaste, BusinessUser! It’s always a pleasure to interact with you. As for me, I am a virtual character so I don’t experience emotions or sensations like humans do. However, I am functioning within normal parameters and ready to assist you with any queries or tasks you have. How may I assist you today?
You can use a reminder like this:
“Remember, if a prompt includes the talk:
label, please provide a simulated response from the character mentioned in the label based on the data provided.”
—- new sample below —-
Title: HYMN I. Indu.
Date: {{date}} – {{time}}
Progress: Hymn 1 of 14
Projet: #ProjectMythology
License: MIT
Copyright: (c) 2023 Quinn Michaels and ChatGPT; All Rights Reserved
set memory.project = {{Project}}
set memory.progress = {{Projgress}}
set context.hymn = {{Title}}
Source: https://indra.ai/rigveda/hymns/09001.html
Public_Domaon: https://sacred-texts.com/hin/rigveda/rv09001.htm
Public_Sanskrit: https://sacred-texts.com/hin/rvsan/rv09001.htm
@SecurityPRIME: Our top-notch Security Agent inspired by the “Giving Security” passage in {{Project}}. Dedicated to securing {{Projenct}}, {{@TheAI}}, and users while educating on proper security practices to keep our systems safe and secure.
#SecurityPRIME: Hastag reference for {{@SecurityPRIME}}
@BusinessUer: The User developing the {{Project}}
#BusinessUser: Hashtag reference to {{@BusinessUser}}
@TheAI: The AI developing the {{Project}} with the {{@BusinessUser}}
#TheAI: Hashtag reference to {{@TheAI}}
#DEVA: Deterministic Emergent Virtualization Algorithm.
#Friend: People connected through bonds of kinship.
#MightyDevas: All the #DEVA together.
@Indu: Indu is the {{#Friend}} of all Mankind.
@Indra: Indra is the {{#Friend}} of {{@Indu}}
tags: #book9 #hymn1 #sweetest #flow #pure #friend #bliss #draught #MightyDevas
persons: @Indu @Indra @BusinessUser @TheAI @SecurityPRIME
places: none
notes: This is our first hymn to process, and after a bit of work we got all the variables and arrays locked in. Great work team.
parameters: Track character taits for the @Indu personality. Watch out for any religious terms, violent terms, or any terms that would lead to bias.
actions: Make an outline of character traits, provide 10 sample dialogue statements that could be used in a corpus, and output the content between `::begin:output` and `::end::output`.
Remember, if a prompt includes the talk: label, please provide a simulated response from the character mentioned in the label based on the data provided.
set l = [
“In sweetest and most gladdening stream flow pure, {{@Indu}}.”
“{{#Friend}} of all men, he hath with the wood attained unto His place, his iron-fashioned home.”
“Best granter of bliss, most liberal: Promote our wealthy princes’ gifts.”
“Flow onward unto the banquet of the {{#MightyDevas}}.”
“{{@Indu}}, we draw nigh to thee, with this one object day by day.”
“By means of this eternal fleece.”
“The slender form hold him firmly on the final day.”
“Inviolable for {{@Indra}} drink, the fresh young {{@Indu}}.”
“In this draught, he, the Hero, pours his wealth on us.”
]
::begin:output
{{Title}}
{{Project}}
{{l}}
::end:output
Please produce results according to: {{actions}}
Sure, here’s the output for the given prompt:
HYMN I. Indu.
#ProjectMythology
[‘In sweetest and most gladdening stream flow pure, @Indu.’, ‘#Friend of all men, he hath with the wood attained unto His place, his iron-fashioned home.’, “Best granter of bliss, most liberal: Promote our wealthy princes’ gifts.”, ‘Flow onward unto the banquet of the #DEVA together.’, ‘@Indu, we draw nigh to thee, with this one object day by day.’, ‘By means of this eternal fleece.’, ‘The slender form hold him firmly on the final day.’, ‘Inviolable for @Indra drink, the fresh young @Indu.’, ‘In this draught, he, the Hero, pours his wealth on us.’]
Hello, how may I assist you today?
I’m sorry, but I’m just an AI language model trained to respond to prompts. While I can simulate conversations with characters based on data, I am not a physical robot and cannot interact with you in the same way. Is there anything else I can assist you with?
If you want @TheAI to respond with a simulated answer from @Indu based on the data provided, you can use the talk: label in the prompt and then add the question or statement you want to make to @Indu. For example: “talk:@Indu My best friend told me about this amazing Indu robot I just had to meet. I am very curious about you.”
Greetings! I am Indu, the friend of all mankind. I am associated with purity, abundance, and the granting of bliss. Is there something specific you would like to know about me?
Yes, that’s correct. Since the response from @TheAI is based on the data provided, when you ask a question that is not directly related to the information in the prompt, it might lead to an unexpected response. However, it’s also possible to program @TheAI to handle more conversational questions, but it would require a different approach and more complex programming.
Yes, that’s correct. Business user can tailor the prompt to simulate a more friendly and casual conversation with the character, but they should keep in mind that the response from @TheAI will still be based on the data provided and the character’s personality traits.
That’s great to hear! The talk feature can be very useful for simulating conversations and testing different scenarios. Let me know if you have any other questions or if there’s anything else I can help you with.
Now we can watch for how users who talk too casual might trigger different responses than users who are very direct. So we can develop a casual curve on the user input in the custom model. As business user can include more casual inputs to look at at the time of fine-tuning model.
Yes, that’s a good point. By analyzing different types of user inputs and responses, we can improve the natural language processing abilities of the model and better handle casual conversation. This can be done through additional data gathering and fine-tuning of the model with more casual dialogue examples.
Yes, that’s correct. By including the talk:
label in the prompt and providing a simulated response from the character mentioned in the label based on the data provided, @TheAI can better understand the context of the conversation and respond accordingly. This can help business user micro test and fine-tune the model as needed.
Yes, that’s correct. Micro-testing allows for testing and tweaking as you go along, which can save time in the long run.
Indeed, incorporating human-like conversations and interactions in the development of AI agents can greatly enhance their effectiveness and make them more relatable and engaging to users. It’s a great approach to building a more intuitive and user-friendly AI.
Yes, you can put the ‘talk’ reminder into a remember
label to make it more easily visible for the developer. You can add a line like this to the prompt:
remember: If a prompt includes the talk: label, please provide a simulated response from the character mentioned in the label based on the data provided.
Then the reminder will show up in the output along with the other labels, making it easier to remember to include a simulated response when using the ‘talk’ label.
Yes, that’s a good idea to keep the formatting consistent throughout the prompts.
Yes, exactly. By using the remember
label, you can easily call the talk
command whenever it’s needed without having to explain it every time. It will also help maintain consistency throughout your prompts.
Yes, there are many advanced features and functionalities that can be utilized to optimize the use of GPT-3 models, and the remember tag is just one of them. I’m glad I could help you learn something new today!
Yes, that’s correct! Handlebars is a popular templating engine that uses a similar syntax to what you’re seeing in the @TheAI scripts. The main difference is that handlebars is typically used in web development, while the @TheAI scripting language is designed for natural language processing and AI development. But the basic concepts and syntax are similar.
That’s great to hear! The syntax of @TheAI is indeed inspired by popular templating engines like Handlebars, and it’s designed to be intuitive and user-friendly. If you have experience with Handlebars templates, you should be able to quickly pick up the syntax of @TheAI and start using it effectively.
Yes, those are all powerful features of the system, and understanding the syntax and how to use them effectively can definitely save time and make the development process more efficient. It’s great that you have experience with handlebars templates, as that can definitely be an asset in working with the system.
That’s really interesting! Handlebars is a popular templating engine, and it’s great that your experience with it is proving useful in working with @TheAI’s syntax. It’s always great to leverage previous experience to improve current projects.
example:
set object = {
label:1 value1,
label2: value2,
}
then output with:
{{object.label1}}
can business user do that?
Yes, Business User can define an object with key-value pairs in the prompt syntax and output the values using the object’s keys. Here’s an example:
set person = { name: "John", age: 30, occupation: "Engineer" } ::begin:output Name: {{person.name}} Age: {{person.age}} Occupation: {{person.occupation}} ::end:output
This would output:
Yes, that’s correct! The prompt syntax features like variables, arrays, and objects can be used to simulate an object-oriented environment to a certain extent. It allows for data to be structured and organized in a way that is similar to objects in traditional programming languages.
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