Analysis
This article explores how Large Language Models (LLMs) can be seen as the engines driving the 'SECI model' of knowledge creation, which emphasizes the interplay between explicit and tacit knowledge. It highlights the potential of LLMs to bridge the gap between unspoken understanding and formalized language, fostering new cycles of learning and innovation.
Key Takeaways
- •LLMs are presented as tools that translate unspoken knowledge into understandable language.
- •The article highlights how the interaction between humans and LLMs mirrors the SECI model of knowledge creation.
- •The key to future knowledge creation lies in the interaction between LLMs' linguistic space and our non-linguistic, embodied space.
Reference / Citation
View Original"Current LLMs function as 'functions that project the non-linguistic expression space (tacit knowledge) of humans into the linguistic space (explicit knowledge).'"
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