Understanding AI Risks
Shreya shares her insights on the taxonomy of AI concerns, emphasizing that not all hallucinations are equal and some pose greater risks than others. She highlights various performance issues that can arise when AI models fail to provide accurate or relevant information. Additionally, she discusses the potential brand and compliance risks organizations face when deploying AI systems, illustrating the importance of strict guidelines to prevent unintended consequences, such as a health chatbot inadvertently providing medical advice.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Ensuring LLM Safety for Production Applications with Shreya Rajpal - 647
Related Questions
Is this large language model (LLM) subject to hallucinations?
What are the risks of AI models?
What are the dangers of language models as discussed in the episode Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security // Ads Dawson // #190 and the clip Toxic Citations and Model Hallucinations?