This episode of Beyond the Algorithm explores a new approach to working with large language models: thinking of them as "method actors." The sources present this mental model as a framework for prompt engineering and architecture, likening LLMs to actors, prompts to scripts, and LLM responses to performances. By embracing this analogy, the episode argues that we can design prompts that leverage the strengths of LLMs while accounting for their limitations.
Article: https://arxiv.org/html/2411.05778v1)
