R and Python Together: Refactoring and Prompt Engineering A Previous Case Study, Using the Perplexity API

I wrote a post last year looking at how to employ tools in LangChain to have GPT-3.5 Turbo access information on the web, outside of its training data. The purpose of the present post is to revisit this post, improving the poor performance I saw there through refactoring and prompt engineering. Background The motivating example is again using large language models (LLMs) to help me calculate…