x is output
Evaluation is important than loss minimization since the loss is unlikely to directly capture the desired result due to the lack of the label. Therefore, contextualizing and interpreting the inference result is important.
How data is composed
Explicit density methods (explicit model of Likelihood)
Implicit density methods (implicit model of Likelihood)
Using Large Language Models Effectively
What 10 Cutting-Edge Companies Have Learned From Building on Top of LLMs
https://unsupervisedlearning.substack.com/p/using-large-language-models-effectively


Seonglae Cho