Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn
Technologies like large language models make it easier to convert cultural material into analyzable variables, while LLM-driven agentic systems extend machine assistance to other parts of the research workflow.
ProofPaper ↗
Key points
- Rather than a full how-to guide or an exhaustive review of recent LLM use cases, this chapter looks at some crucial aspects of this new paradigm as well as the bigger picture.
- I argue that these technologies expand the scale, methodological range, and scope for delegation, while the basic logic by which those measurements support cultural claims remains mostly unchanged.
Sources (1)
- [1]Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic TurnarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 10:54 PM
Technologies like large language models make it easier to convert cultural material into analyzable variables, while LLM-driven agentic systems extend machine assistance to other parts of the research workflow.
Rather than a full how-to guide or an exhaustive review of recent LLM use cases, this chapter looks at some crucial aspects of this new paradigm as well as the bigger picture.
Extractive summary: sentences quoted from the sources.