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Sébastien De Greef
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Commit
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0127200
1
Parent(s):
58a7650
chore: Update .gitignore to exclude .env file
Browse files- .gitignore +1 -0
- src/graph_classes.png +0 -0
- src/index.qmd +10 -6
- src/llm_knowledge.qmd +3 -1
.gitignore
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.DS_Store
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.venv/**
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src/_site/
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.DS_Store
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.venv/**
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src/_site/
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.env/
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src/graph_classes.png
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src/index.qmd
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- **Collaboration Partners**: The project is developed in partnership with Windesheim University of Applied Sciences and the Supply Chain Finance research group.
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- **Research Focus**: Investigating the efficient use of financial flows within supply chains and understanding the impact of these efficiencies.
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- **Value Chain Hackers**: A dynamic living lab that serves as a platform for both schools and companies.
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- **Innovation & Experimentation**: The lab facilitates experimentation with innovative supply chain solutions and realistic sustainability strategies.
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(https://valuechainhackers.xyz/)[https://valuechainhackers.xyz/]
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GitHub repo
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Prompts: (https://github.com/Value-Chain-Hackers/KnopenKoning/tree/main/prompts)[https://github.com/Value-Chain-Hackers/KnopenKoning/tree/main/prompts]
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### Who is What ?
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- **Collaboration Partners**: The project is developed in partnership with Windesheim University of Applied Sciences and the Supply Chain Finance research group.
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- **Value Chain Hackers**: A dynamic living lab that serves as a platform for both schools and companies.
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- **Innovation & Experimentation**: The lab facilitates experimentation with innovative supply chain solutions and realistic sustainability strategies.
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(https://valuechainhackers.xyz/)[https://valuechainhackers.xyz/]
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GitHub repo
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(https://github.com/Value-Chain-Hackers/KnopenKoning)[https://github.com/Value-Chain-Hackers/KnopenKoning]
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Models:
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(https://huggingface.co/sebdg?search_models=scm)[https://huggingface.co/sebdg?search_models=scm]
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Dataset:
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(https://huggingface.co/datasets/sebdg/ontologies_train_dataset)[https://huggingface.co/datasets/sebdg/ontologies_train_dataset]
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Prompts:
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(https://github.com/Value-Chain-Hackers/KnopenKoning/tree/main/prompts)[https://github.com/Value-Chain-Hackers/KnopenKoning/tree/main/prompts]
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### Who is What ?
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src/llm_knowledge.qmd
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### Key Takeaways:
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- Integrating ontologies with LLMs enhances their ability to check, infer, and generate knowledge, ensuring that knowledge graphs are accurate, consistent, and semantically rich.
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- LLMs can perform advanced reasoning tasks by applying ontology-defined rules and relationships, leading to better automation and scalability in knowledge management.
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### Key Takeaways:
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- Integrating ontologies with LLMs enhances their ability to check, infer, and generate knowledge, ensuring that knowledge graphs are accurate, consistent, and semantically rich.
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- LLMs can perform advanced reasoning tasks by applying ontology-defined rules and relationships, leading to better automation and scalability in knowledge management.
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