diff --git a/docs/HistoriesGPT.html b/docs/HistoriesGPT.html index 1fbde36..d826eab 100644 --- a/docs/HistoriesGPT.html +++ b/docs/HistoriesGPT.html @@ -351,7 +351,7 @@

5 Dec 2023

#Preliminaries:
-knitr::opts_chunk$set(message=FALSE, warning=FALSE, eval = TRUE) #set eval = TRUE when run first
+knitr::opts_chunk$set(message=FALSE, warning=FALSE, eval = TRUE) 
 
 rm(list=ls())
 
@@ -403,7 +403,7 @@ 
Introduction

   response <- create_chat_completion(model,
                                       messages = messages ,
                                       temperature = temperature,
-                                      openai_api_key = Sys.getenv("OPENAI_API_KEY"), #you need to add openai key to global environment
+                                      openai_api_key = Sys.getenv("OPENAI_API_KEY"), #add your openai key to the environment variables
                                       )
   return(response$choices$message.content)
   
diff --git a/docs/Scale.html b/docs/Scale.html
index 70edf3b..0d1f18e 100644
--- a/docs/Scale.html
+++ b/docs/Scale.html
@@ -529,8 +529,8 @@ 
Scaling Laws in Practice

   facet_wrap(~sample, scales = "free") 
 
 ggplotly(p3)
-
- +
+

A visual inspection of data (Figure 2) shows as expected: GDP increases as a population grows. However, whereas a lot of variability and extreme values are found in the left plot where total values are