Threat modeling LLM apps
Practical AI
Validating Large Language Models: Ensuring Trustworthiness
This chapter explores the critical importance of validating outputs from large language models (LLMs) by combining traditional methodologies with modern techniques. It discusses practical strategies for validation, including the integration of classic models and automated monitoring to safeguard against harmful outputs. The conversation also highlights the security implications of using LLMs in sensitive environments, emphasizing the balance between control and flexibility in AI operations.
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