Course overview
Module focused on data and supply chain security for RAG and LLMs: RAG poisoning, malicious documents, embedding/vector weaknesses, sensitive data disclosure and risks from dependencies, models and dataset supply chains.
Identify and mitigate RAG poisoning and malicious documents introduced into knowledge stores.
Examine embedding and vector weaknesses and their impact on retrieval and result relevance.
Address sensitive data disclosure and supply chain risks: dependencies, external models and third-party datasets.
Skills and topics covered
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