Understanding high-cardinality data is essential to observability. Learn about high cardinality best practices for setting up datasets & analysis.| Honeycomb
Should you test in production? This practice has gotten a bad rap despite the fact that we actually do it all the time. Here are some things to consider.| Honeycomb
In my experiments so far, which have involved Python and P5.js (built on top of Javascript), I have been unable to obtain a single response/completion from the same prompt and parameter settings with T=0. for example, I may prompt Codex to “make balls bounce on the screen”. I created a preset that serves as a few shot primer to get the appropriate code. The code generated is different each time. Are there recommended parameter settings (or specific prompt tweaks) to obtain determinism? I ...| OpenAI Developer Community
In this post, Phillip talks through the challenges & pitfalls of LLMs we faced when building our Query Assistant - and that you too may face.| Honeycomb