quickfix

Author: MichaelTrestman

docs/questions-and-answers.md

@@ -60,7 +60,7 @@ At the same time, validators are also incentivized to do their best work, becaus
 
 The task of miners is different in each subnet. Some subnets provide AI services like specialized inference, training, or prediction. Other provide infrastructure as a service, including storage or compute.
 
-Browse tokenomic information about the subnets on [TAO.app](https://tao.app), and learn more about the projects and services they support on the [Learnbittensor.org subnet listings](learnbittensor.org/subnets).
+Browse tokenomic information about the subnets on [TAO.app](https://tao.app), and learn more about the projects and services they support on the [Learnbittensor.org subnet listings](https://learnbittensor.org/subnets).
 
 ### So where does the blockchain come in?
 

docs/subnets/walkthrough-prompting.md

@@ -1,13 +1,13 @@
 ---
-title: "Walkthrough of Subnet 1"
+title: "Walkthrough of Example Subnet"
 ---
 
 import ThemedImage from '@theme/ThemedImage';
 import useBaseUrl from '@docusaurus/useBaseUrl';
 
-# Walkthrough of Subnet 1
+# Walkthrough of Example Subnet
 
-In this section we present a high-level walkthrough of the [Subnet 1: Prompting](https://github.com/opentensor/prompting/tree/main). This subnet contains multiple incentive mechanisms which produce an internet-scale conversational intelligence. Below are a few examples of the intelligence produced by this subnet:
+In this section we present a high-level walkthrough of an example architecture for a subnet based on LLM inference. This architecture was originally based on [Subnet 1, Apex](https://github.com/opentensor/prompting/tree/main), although subnets rapidly evolve and that subnet now has a more complicated architecture. This subnet contains multiple incentive mechanisms which produce an internet-scale conversational intelligence. Below are a few examples of the intelligence produced by this subnet:
 
 - Answering questions.
 - Summarizing a given text.