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### Lecture 7 Additional Software Tools | ||
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* [garak](https://github.com/NVIDIA/garak) | ||
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### Lecture 7 Additional Resources | ||
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* [Cataloguing LLM Evaluations](https://github.com/aiverify-foundation/LLM-Evals-Catalogue) | ||
* [Generative AI Risk Management Resources](https://github.com/jphall663/gai_risk_management?tab=readme-ov-file) | ||
* [LLM Security and Privacy](https://github.com/chawins/llm-sp) | ||
* [PAI’s Responsible Practices for Synthetic Media](https://syntheticmedia.partnershiponai.org/) | ||
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### Lecture 7 Additional Reading | ||
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* **Introduction and Background**: | ||
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* [_Taxonomy of Risks posed by Language Models_](https://dl.acm.org/doi/pdf/10.1145/3531146.3533088) | ||
* [_On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?_](https://dl.acm.org/doi/10.1145/3442188.3445922) | ||
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* **Technical Information**: | ||
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* [_DQI: Measuring Data Quality in NLP_](https://arxiv.org/pdf/2005.00816) | ||
* [_The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources_](https://arxiv.org/pdf/2406.16746) |
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