Try InfraNodus Text Network Visualization Tool developed by Nodus Labs. As a result, the idea is expanded further, which is also indicated on the graph in real-time. Note, how we can then select the concepts that we obtained from GPT3 - linear models - to then generate more facts that relate to machine learning and linear models. Once the ideas are generated, click “copy” to edit the idea and to select the concepts you want to be added as nodes into the graph - these will be converted to hashtags: Adding ideas into the mindmap using GPT-3 AI plugin in InfraNodus.
Select the nodes “machine learning” and “artificial intelligence”, then click the “AI Facts” button in the AI helper panel to generate new ideas. Now, let’s use the power of GPT-3 AI to generate an interesting fact that relates to this topic. (We can also use #hashtags to designate which #words will be shown as #nodes on the #network_graph). We can then use the AI insight panel to generate interesting research questions, facts, and ideas based on our initial statement. Will generate the following graph: The concepts are the nodes, the relations are the edges. The concepts that appear in the same sentence that describes the relation will be represented as the edges on the graph.įor example, our first statement: ] is a part of ] These will be represented as the nodes on the graph. The syntax is very simple: you can use ] or #hashtags to denote the concepts. Open a new mindmap and enter the first statement that you want to start with. Let us now generate a rhizomatic mind map from a text using GPT-3 AI plugin in InfraNodus. Network Science + GPT-3: Rhizomatic Mind Maps with Analytics This is why networks may be better suited for representing ideas than the traditional mind maps. The biggest problem, however, is that most mind maps are hierarchical, while our thought is rhizomatic.
Also, there is no analytics and our mind maps become overwhelmingly complex once there are many ideas within. One has to begin with a central idea, draw the boxes and arrows between them, switching between browser tabs to get the new information. We can start building a mindmap using some of the available tools like Miro or Mindmup, but let’s face it: the workflow can be pretty cumbersome. Suppose we want to learn something about machine learning. A mind map made using the GPT3 AI text plugin in InfraNodus In this article, we demonstrate this approach using the InfraNodus GPT-3 AI text generation plugin. We can then visualize the ideas as a text network and use the insights from graph theory to analyze the relations and reveal the main topics and structural gaps within - something that normal mind maps cannot offer. Most mind mapping tools have a cold start problem, which can be overcome using a GPT3 AI text generator.
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