Answers.Body: <p>The only thing that you can do is fine-tune chatgpt. A whole document would have way too many tokens for any other model to deal with.</p>
  
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Answers.CreationDate: 2024-03-24T20:56:47.690Z
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Answers.Body: <p>The short answer to this is yes, with some caveats. It depends highly on the format of the output you're looking for and the complexity of the input. I think the simplest way to do this would be to prompt a chatbot/LLM to transform rules embedded in your document either into <a href="https://arxiv.org/html/2312.02441v1" rel="nofollow noreferrer">code</a> (e.g. a series of nested if/else statements) or into code that <a href="https://diagrammergpt.github.io/" rel="nofollow noreferrer">generates a visual diagram.</a></p>
  <p>Prompt engineering is more of an art than a science, but I think you could experiment by prompting a chatbot by telling it that it's an expert in your field and in generating decision trees.</p>
  <p>I think a project like this could rapidly transform into a complex project, especially if you're looking for the output to match certain speeds/efficiency, and whether you want a graphical tree or a model that runs the tree for you. It also depends on the input data you have for executing the tree.</p>
  <p>If you are looking for the model to generate code, I would start with nested if/else statements in python. If you're looking for the model to generate a flow chart, it looks like <a href="https://community.openai.com/t/your-entire-life-in-1-flowchart-according-to-gpt-4/160038/3" rel="nofollow noreferrer">using plantuml to generate a diagram</a> from code provided by the LLM is your best bet. Otherwise if you have a tool or language that you prefer for diagramming, you can also provide &quot;<a href="https://docs.anthropic.com/en/docs/build-with-claude/tool-use" rel="nofollow noreferrer">tool</a>&quot; or &quot;<a href="https://platform.openai.com/docs/guides/function-calling" rel="nofollow noreferrer">function</a>&quot; specifications for most models.</p>
  
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Body: <p>I'm exploring the capabilities of GenAI for text analysis and decision-making processes. I'm particularly interested in understanding <strong>whether GenAI can be leveraged to create decision trees directly from textual data</strong>.</p>
  <p>As an example, let's consider a scenario where we have documents outlining various rules and criteria for approving loans. Are there any GenAI approaches to analyze this document and produce a decision tree that reflects the decision-making process outlined in the text?</p>
  <p>To summarize, I'm curious about the feasibility of utilizing GenAI to:</p>
  <ul>
  <li>Analyze textual data to extract features relevant for
  decision-making.</li>
  <li>Automatically generate decision trees based on the identified features.</li>
  </ul>
  <p>I'm aware that GenAI is proficient in natural language processing tasks and can generate text based on provided prompts. However, I'm uncertain about its suitability for constructing decision trees from textual data.</p>
  <p>Thereby, I'm curious to know if anyone has experience or insights into using GenAI for this purpose. Additionally, any resources, examples, or methodologies on how to implement such a task would be greatly appreciated.</p>
  <p>Thank you!</p>
  
Tags: <large-language-models><decision-trees>
Title: Can GenAI be Used to Generate Decision Trees from Text?
UserDisplayName: D3N3ON
ThreadText: # Can GenAI be Used to Generate Decision Trees from Text?
  
  (Asked by: username_0 on 2024-03-24)
  
  I'm exploring the capabilities of GenAI for text analysis and decision-making processes. I'm particularly interested in understanding **whether GenAI can be leveraged to create decision trees directly from textual data**.
  
  As an example, let's consider a scenario where we have documents outlining various rules and criteria for approving loans. Are there any GenAI approaches to analyze this document and produce a decision tree that reflects the decision-making process outlined in the text?
  
  To summarize, I'm curious about the feasibility of utilizing GenAI to:
  
  * Analyze textual data to extract features relevant for
    decision-making.
  * Automatically generate decision trees based on the identified features.
  
  I'm aware that GenAI is proficient in natural language processing tasks and can generate text based on provided prompts. However, I'm uncertain about its suitability for constructing decision trees from textual data.
  
  Thereby, I'm curious to know if anyone has experience or insights into using GenAI for this purpose. Additionally, any resources, examples, or methodologies on how to implement such a task would be greatly appreciated.
  
  Thank you!
  
  **Tags:** large-language-models, decision-trees
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2024-03-24. Score: 0
  
  The only thing that you can do is fine-tune chatgpt. A whole document would have way too many tokens for any other model to deal with.
  
  
  ---
  
  ### Answer by username_2 on 2024-08-22. Score: 0
  
  The short answer to this is yes, with some caveats. It depends highly on the format of the output you're looking for and the complexity of the input. I think the simplest way to do this would be to prompt a chatbot/LLM to transform rules embedded in your document either into [code](https://arxiv.org/html/2312.02441v1) (e.g. a series of nested if/else statements) or into code that [generates a visual diagram.](https://diagrammergpt.github.io/)
  
  Prompt engineering is more of an art than a science, but I think you could experiment by prompting a chatbot by telling it that it's an expert in your field and in generating decision trees.
  
  I think a project like this could rapidly transform into a complex project, especially if you're looking for the output to match certain speeds/efficiency, and whether you want a graphical tree or a model that runs the tree for you. It also depends on the input data you have for executing the tree.
  
  If you are looking for the model to generate code, I would start with nested if/else statements in python. If you're looking for the model to generate a flow chart, it looks like [using plantuml to generate a diagram](https://community.openai.com/t/your-entire-life-in-1-flowchart-according-to-gpt-4/160038/3) from code provided by the LLM is your best bet. Otherwise if you have a tool or language that you prefer for diagramming, you can also provide "[tool](https://docs.anthropic.com/en/docs/build-with-claude/tool-use)" or "[function](https://platform.openai.com/docs/guides/function-calling)" specifications for most models.
  
  
  ---
  
  