Privacy and Moderation
Jay discusses the importance of privacy and security when using AI models, highlighting that user data is not stored after sessions end. He emphasizes the role of content moderation, explaining how harmful content is filtered out and reviewed by humans. Sam adds that understanding these frameworks is crucial for organizations, especially for those in technical roles facing implementation challenges.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Building LLM-Based Applications with Azure OpenAI with Jay Emery - 657
Related Questions
How do AI language models work in the context of the episode Building LLM-Based Applications with Azure OpenAI with Jay Emery - 657 and the clip Privacy and Moderation?
How are large language models (LLMs) trained as discussed in the episode Synthetic Data with Alex Watson, Founder of Gretel AI, and the clip AI Revolutionizes Tabular Data?
Can you explain more about how AI models are trained, specifically in the context of the episode Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning and the clip Understanding Machine Learning?