Hallucination in AI
Shreya discusses the challenges of ensuring that retrieval augmented generation (RAG) systems stick strictly to provided documents, avoiding the pitfalls of closed domain hallucination. She highlights the importance of maintaining a source of truth while also addressing how general question answering systems can lead to broader hallucinations. The conversation delves into the nuances of entity recognition and the potential for models to misinterpret or misrepresent information, emphasizing the need for precision in AI responses.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?
Is the large language model (LLM) in the episode Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672 and the clip Instruction Tuning Insights subject to hallucinations?
Is the large language model (LLM) in the episode "Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672" and the clip "Instruction Tuning Insights" subject to hallucinations?