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# AI models for identifying trigger events in disinformation analysis
Final Dissertation Submission Repository - Experiments with created dataset
## Links
Project Description: [https://github.com/WillJeynes/LLMsForDisinformationAnalysis/](https://github.com/WillJeynes/LLMsForDisinformationAnalysis/)
This is a sister repository, for project background see [this link](https://git.host.jeynes.uk/jill/LLMsForDisinformationAnalysis)
Get the dataset: [https://huggingface.co/datasets/WillJeynes/LLMsForDisinformationAnalysis-Dataset](https://huggingface.co/datasets/WillJeynes/LLMsForDisinformationAnalysis-Dataset)
# This Repository:
## Finetuned Model
Tinetuning a LLM to better predict possible disinformation claims arising from world event
Kind of the opposite of dataset
![demo example](literature/predex.png)
Stats available [here](/finemodel/)
Final LoRa version available here: [https://huggingface.co/WillJeynes/LLMsForDisinformationPrediction](https://huggingface.co/WillJeynes/LLMsForDisinformationPrediction)
Final LoRa version available [on HuggingFace](https://huggingface.co/WillJeynes/LLMsForDisinformationPrediction)
## Graph Viz
A way to visualise the connections between claims and trigger events
Visible here: [https://jillweynes.github.io/LLMsForDisinformationPrediction-GraphVizBuilt/](https://jillweynes.github.io/LLMsForDisinformationPrediction-GraphVizBuilt/)
![demo example](literature/vizex.png)
[View Online Demo](https://jillweynes.github.io/LLMsForDisinformationPrediction-GraphVizBuilt/)
## Repository Structure
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