TechViz – The Data Science Guy
#graphgpt #gpt3 #machinelearning
GraphGPT converts unstructured natural language into a knowledge graph. Pass in the synopsis of your favorite movie, a passage from a confusing Wikipedia page, or a transcript from a video to generate a graph visualization of entities and their relationships. A classic use case of prompt engineering.
Github: https://github.com/varunshenoy/GraphGPT
Demo: https://graphgpt.vercel.app/
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#techviz #datascienceguy #deeplearning #ai #transformers #knowledgegraph #promptengineering
This would be super useful for analyzing spaghetti legacy code
How to get the OpenAI API key?
Your video did a great job! Can I repost it to Chinese social media? The source of the video will be noted.
This is all clear, but how will we use the graph to answer the questions that some one ask to use this knowledge
how to convert graph with text into a text only. help me pls 😢
Do we need to open an account with open AI?
Please provide code to build knowledge graph from unstructured text 😢
It is interesting but how does it work when running out of context of 3000 tokens?
Is anyone familiar with Chris Harrison and the graph he achieved representing the dense cross references of the Bible? (I would include a link here but some people are weary of such clickables, but if you Google it it comes right up)… I am looking to achieve a similar output, from an input of 2 million words directed to a single project, anyone know how this could be achieved?
Wow…..just…..wow!
The name is so misleading. That’s not a new model but simply a prompt with graph examples. Why the need to provide so much boilerplate code just to ship a single dumb prompt?