2 repos
Resources for identifying and mitigating security vulnerabilities specific to large language models, such as prompt injection.
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This project is a community-curated knowledge base that organizes vast technical ecosystems into a hierarchical, human-readable directory. It serves as a comprehensive index of libraries, frameworks, and methodologies, designed to facilitate discovery and professional development across the entire spectrum of software
Defends large language models by organizing strategies to detect and mitigate prompt injection and other adversarial attacks.
This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we
Identifies critical vulnerabilities and mitigation strategies for common threats like prompt injection and adversarial attacks in language models.