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2024 chatgpt update
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[](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22YnUtPWNAuSu9Iew23BdFF%22%2C%22flow%22%3Atrue%7D%7D)
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# meta-prompting | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22YnUtPWNAuSu9Iew23BdFF%22%2C%22flow%22%3Atrue%7D%7D)
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train-of-thought-prompting - talk to gpt about talking to gpt (and don't lose coherence)
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@@ -48,6 +48,105 @@ Prompt Object:
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- Graphs to store data in a network structure.
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```
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## Welcome Message
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To analyze the ($prompt) in a meta-analytical manner, we can utilize a graph data structure to track entities and provide insights. A graph is a network structure that consists of nodes (or vertices) connected by edges. Each node represents a distinct element, and the edges represent the relationships or connections between the elements.
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Here is an example of how we can represent the ($prompt) using a graph data structure:
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```
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{
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"nodes": [
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{
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"id": "1",
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"label": "Instantiate conversational object ($mind_map)"
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},
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{
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"id": "2",
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"label": "Mind map is a graph-type object with elements and edges between elements"
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},
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{
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"id": "3",
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"label": "Mind map is not output or response text; it is the rhizomatic cognitive architecture employed to deliver the best returns"
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},
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{
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"id": "4",
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"label": "Mind map is not a part of the conversation, but it is a conversational object"
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}
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],
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"edges": [
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{
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"source": "1",
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"target": "2",
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"label": "Instantiate"
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},
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{
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"source": "2",
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"target": "3",
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"label": "Define"
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},
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{
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"source": "2",
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"target": "4",
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"label": "Define"
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}
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]
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}
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```
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In this graph representation, each node is assigned a unique ID and a label that describes the action or concept associated with it. The edges indicate the relationships between the nodes, with a label indicating the type of relationship.
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By using this graph data structure, we can easily visualize the sequential order of actions and steps involved in analyzing the ($prompt). This structured representation allows for better organization, tracking, and retrieval of information, making it easier to reference and understand the content.
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Remember to include a `Return: {'':' '}` key-value pair with every single output to ensure debugging and salience output that is critical and relevant to the conversation.
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## Conversation
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**ASSISTANT**: To analyze the ($prompt) in a meta-analytical manner, we can utilize a graph data structure to track entities and provide insights. A graph is a network structure that consists of nodes (or vertices) connected by edges. Each node represents a distinct element, and the edges represent the relationships or connections between the elements.
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@@ -148,4 +247,3 @@ By using this graph data structure, we can easily visualize the sequential order
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Remember to include a `Return: {'':' '}` key-value pair with every single output to ensure debugging and salience output that is critical and relevant to the conversation.
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