Implications, Understanding & Philosophy

Slides on LLM understanding (both by and of) from a conceptual perspective can be found here.

Additional materials

If you want to dig a bit deeper, here are (optional!) supplementary readings. More papers discussed in the lecture are provided in the slides.

• Bommasani et al. (2022) On the Opportunities and Risks of Foundation Models

• Mahowald et al. (2023) Dissociating language and thought in large language models

• Mitchell & Krakauer (2023) The debate over understanding in AI’s large language models