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Threat modeling LLM apps
Practical AI: Machine Learning, Data Science, LLM
Navigating Output Validation for LLMs
15min Snip
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This chapter focuses on the complexities of validating outputs from large language models (LLMs) and emphasizes the significance of assessing how these outputs will be used. It discusses various traditional and modern validation techniques and highlights the importance of securing AI systems against vulnerabilities while implementing effective monitoring mechanisms. The conversation further explores the balance between using smaller models for security while acknowledging the expansive attack surfaces of larger models.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode