
Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Addressing Hallucinations in LLMs
This chapter explores the critical concerns surrounding safety in large language models, particularly focusing on hallucinations and their impact on real-world applications. It discusses the categories of risks associated with LLMs, including performance, brand, and compliance risks, and highlights the effectiveness of Retrieval-Augmented Generation (RAG) in enhancing model reliability. The conversation underscores ongoing challenges in ensuring LLMs meet necessary accuracy and regulatory standards, vital for broader adoption.
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