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2min chapter
How LLMs Actually Work
AI Knowhow
Mitigating Biases and Hallucinations in LLMs with RAG
This chapter explores the critical issues of biases and hallucinations in large language models, emphasizing how retrieval augmented generation can enhance response accuracy. It also underscores the necessity for executives to grasp these concepts as they adapt to the rapidly changing AI landscape in their organizations.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode