diff --git a/examples/How_to_count_tokens_with_tiktoken.ipynb b/examples/How_to_count_tokens_with_tiktoken.ipynb
index ecf3c55aad..9a221acd90 100644
--- a/examples/How_to_count_tokens_with_tiktoken.ipynb
+++ b/examples/How_to_count_tokens_with_tiktoken.ipynb
@@ -52,7 +52,7 @@
     "\n",
     "## How strings are typically tokenized\n",
     "\n",
-    "In English, tokens commonly range in length from one character to one word (e.g., `\"t\"` or `\" great\"`), though in some languages tokens can be shorter than one character or longer than one word. Spaces are usually grouped with the starts of words (e.g., `\" is\"` instead of `\"is \"` or `\" \"`+`\"is\"`). You can quickly check how a string is tokenized at the [OpenAI Tokenizer](https://beta.openai.com/tokenizer)."
+    "In English, tokens commonly range in length from one character to one word (e.g., `\"t\"` or `\" great\"`), though in some languages tokens can be shorter than one character or longer than one word. Spaces are usually grouped with the starts of words (e.g., `\" is\"` instead of `\"is \"` or `\" \"`+`\"is\"`). You can quickly check how a string is tokenized at the [OpenAI Tokenizer](https://beta.openai.com/tokenizer), or the third-party [Tiktokenizer](https://tiktokenizer.vercel.app/) webapp."
    ]
   },
   {