Language Model Conversations
Tim and Cameron discuss the intricacies of language models, highlighting the autoregressive nature that sets them apart from traditional classifiers. They delve into the challenges of understanding the inner workings of these models, emphasizing the inscrutability and complexity that lies beneath their seemingly simple interfaces.In this clip
From this podcast
Machine Learning Street Talk (MLST)
What’s the Magic Word? A Control Theory of LLM Prompting.
Related Questions