diff --git a/DESCRIPTION b/DESCRIPTION
index c9200f5..6a51fa6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: rgpt3
 Title: Making requests from R to the GPT-3 API
-Version: 0.0.2
+Version: 0.1.0
 Authors@R: 
     person("Bennett", "Kleinberg",  email = "bennett.kleinberg@tilburguniversity.edu", role = c("aut", "cre"))
 Description: With this package you can interact with the powerful GPT-3 models in two ways: making requests for completions (e.g., ask GPT-3 to write a novel, classify text, answer questions, etc.) and retrieving text embeddings representations (i.e., obtain a low-dimensional vector representation that allows for downstream analyses). You need to authenticate with your own Open AI API key and all requests you make count towards you token quota. For completion requests and embeddings requests, two functions each allow you to send either sinlge requests (`gpt3_single_request()` and `gpt3_single_embedding()`) or send bunch requests where the vectorised structure is used (`gpt3_requests()` and `gpt3_embeddings()`).
diff --git a/README.md b/README.md
index bb93546..52aaddf 100644
--- a/README.md
+++ b/README.md
@@ -63,6 +63,8 @@
 
 The basic principle is that you can (and should) best use the more extensible `gpt3_requests()` and `gpt3_embeddings()` functions as these allow you to make use of R's vectorisation. These do work even if you have only one prompt or text as input (see below). The difference between the extensible functions and their "single" counterparts is the input format.
 
+This R package gives you full control over the parameters that the API contains. You can find these in detail in the package documentation and help files (e.g., `?gpt3_requests`) on the Open AI website for [completion requests](https://beta.openai.com/docs/api-reference/completions/create) and [embeddings](https://beta.openai.com/docs/api-reference/embeddings/create).
+
 ## Examples
 
 The examples below illustrate all functions of the package.