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