This chapter discusses the impact of large language models on how people organize information. It explores the challenges of training models to understand and extract information from complex language, and highlights the difference in scale that these models represent compared to previous technologies. The chapter also speculates on the future of language models and their potential impact on enterprise systems.
This episode is a compilation of conversations from 2023. It’s not meant as a best-of collection, but an opportunity to highlight some themes that emerged during our conversations throughout the year. The episode is also an experiment, with the themes being curated partly by an AI.
Cover photo by Waldemar Brandt on Unsplash.
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