AI Compliance Challenges
The discussion highlights the risks associated with deploying AI systems, particularly in the context of chatbots handling sensitive inquiries like billing or medical advice. It emphasizes the importance of ensuring these systems do not inadvertently create compliance or regulatory issues. Additionally, the concept of retrieval augmented generation is introduced as a method to enhance the accuracy of AI responses by leveraging private data sources.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
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I understand correctly that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?