What are the emerging architectures for LLM applications? From data preprocessing and embedding to strategies for prompt construction and retrieval and hosting solutions for LLMs, here’s what you need to know!

Under what circumstances does training your own LLM lead to more stable outputs? Here are 3 reasons why training an LLM is advantageous and 3 reasons why relying on out-of-the-box solutions may be preferable. 

LLMs are everywhere, left, right, and center of any and all AI discourse these days. But we’ve got to be honest here, it’s hard to understand how they make decisions and explain and monitor them. So earlier this week, we released into beta Elemeta, our open-source library for exploring, monitoring, and extracting features from unstructured data.