Unraveling Language Models
Aman and Cameron delve into the intricate world of language models, likening their behavior to magic and human perception. They explore the control theory behind LLMs and the art of prompt engineering, shedding light on the dynamics of these complex systems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
What’s the Magic Word? A Control Theory of LLM Prompting.
Related Questions
What is the best insight on prompt engineering and engaging large language models (LLMs) from the episode LLMs in Social Science and the clip Prompt Engineering Advice?
Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip LLMs as Jury, as well as in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?