diff --git a/R/gpt3_single_embedding.R b/R/gpt3_single_embedding.R
index 8ec6d23..dc6c2ea 100644
--- a/R/gpt3_single_embedding.R
+++ b/R/gpt3_single_embedding.R
@@ -1,7 +1,7 @@
 #' Obtains text embeddings for a single character (string) from the GPT-3 API
 #'
 #' @description
-#' `gpt_single_embedding()` sends a single [embedding request](https://beta.openai.com/docs/guides/embeddings) to the Open AI GPT-3 API.
+#' `gpt3_single_embedding()` sends a single [embedding request](https://beta.openai.com/docs/guides/embeddings) to the Open AI GPT-3 API.
 #' @details The function supports the text similarity embeddings for the four GPT-3 models as specified in the parameter list. The main difference between the four models is the sophistication of the embedding representation as indicated by the vector embedding size.
 #'   - Ada (1024 dimensions)
 #'   - Babbage (2048 dimensions)
@@ -21,13 +21,13 @@
 #'
 #' ## Simple request with defaults:
 #' sample_string = "London is one of the most liveable cities in the world. The city is always full of energy and people. It's always a great place to explore and have fun."
-#' gpt_single_embedding(input = sample_string)
+#' gpt3_single_embedding(input = sample_string)
 #'
 #' ## Change the model:
-#' #' gpt_single_embedding(input = sample_string
+#' #' gpt3_single_embedding(input = sample_string
 #'     , model = 'text-similarity-curie-001')
 #' @export
-gpt_single_embedding = function(input
+gpt3_single_embedding = function(input
                                , model = 'text-similarity-ada-001'
                                ){