How to Detect and Remove Logical Fallacies from LLM Output

Talk on why optimizing LLMs for metrics such as cosine similarity, safety or helpfulness does not guarantee logically sound reasoning, and on detecting and stripping circular reasoning, false dichotomies, ad hominem and other logical fallacies from model output. Listed on MLconf as 'ex-Disney ex-Facebook ex-Google, most recently @ Fox'.