205: How to make LLMs Boring (Predictable, Reliable, and Safe), Featuring Nicolay Gerold
The Data Stack Show
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Harnessing Large Language Models: Pros and Cons
This chapter explores the practical applications of large language models (LLMs) in data processing and content generation, highlighting their efficiency in routine tasks while acknowledging their limitations. The speakers discuss the importance of human oversight due to concerns regarding the reliability of LLM outputs, emphasizing a nuanced understanding of AI capabilities. They also delve into the challenges and risks associated with LLM implementation, particularly in customer interactions and security contexts.
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