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How to Use ChatGPT with a Knowledge Graph | Tutorial
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You can either import your existing ChatGPT conversation to visualize the main concepts and their relations to get a quick overview and know where to focus next. You can also use the knowledge graph to detect the gaps in the conversation, so you know better which topics to connect.
It is also possible to build the knowledge graph live, as you are having a conversation. You can do this inside InfraNodus itself.
Check out the chapters below to jump to the part of the video that's most relevant to you:
Timecodes:
0:00 How can a Knowledge Graph be Useful for ChatGPT?
1:33 Two approaches: import vs direct visualization
1:50 Analyze your ChatGPT conversation
3:25 How knowledge graph represents ideas
5:39 “Because I see how these ideas connect, it’s much easier to recall what I was talking about”
6:07 Hide the parts you don’t need
7:07 Finding the blind spots in a ChatGPT conversation
9:35 Human as an AI agent
10:42 See how your ideas fit into the discourse
12:28 Staying within / going beyond the context
13:08 How to use knowledge graphs to sculpt ideas
14:13 Conceptual gateways — discourse entrance points
15:50 Ecological variability
17:08 Building a knowledge graph live as you use ChatGPT
22:15 Sculpting your knowledge with a graph
24:20 Building a more granular graph
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