Separating best practice from hype: Lessons learned from early LLM adopters
Hedge Fund Huddle
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Navigating the Future of Data and Language Models
This chapter delves into the evolution of data collection and its implications for artificial intelligence, focusing on the shift from structured to unstructured data. It addresses the practical integration of large language models (LLMs) within organizations, balancing innovation and governance. Additionally, it critiques the limitations of LLMs in terms of content engagement and the need for tailored tools in communication.
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