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8min chapter
How LLMs Actually Work
AI Knowhow
Understanding Large Language Models
This chapter explores the operation and implications of large language models (LLMs), highlighting issues like biases and hallucinations that can occur without proper understanding. It discusses the critical role of context, prompt engineering, and the differences between various LLMs in achieving useful outcomes. The chapter concludes with insights on enhancing communication within organizations and the evolving nature of LLMs through user interactions.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode