Update uncertainty/README.md

uncertainty/README.md

@@ -59,14 +59,14 @@ red-teamed examples.
 Scenario 1. Answering a question and obtaining a certainty score proceeds as follows. Given a user query written in the `user` role:
 
 1. Use the base model to generate a response as normal (via the `assistant` role).
-2. Prompt the model to generate a certainty score by generating in the `certainty` role (use "certainty" as the role in the chat template, or simply append `<|start_of_role|>certainty<|end_of_role|>` and continue generating), see examples below.
-3. The model will respond with a certainty percentage, quantized with steps of 10% (i.e. 05%, 15%, 25%,...95%).  Note, any additional text after the score and % can be ignored.  You can curb additional generation by setting "max token length" = 3 when using this role.
+2. Generate a certainty score with the adapter.
+3. The model will respond with an integer 0-9 indicating a certainty percentage quantized with steps of 10% (i.e. 05%, 15%, 25%,...95%). 
 
 Scenario 2. Predicting the certainty score from the question only, *prior* to generating an answer. Given a user query written in the `user` role:
 
-1. Prompt the model to generate a certainty score by generating in the `certainty` role (use "certainty" as the role in the chat template, or simply append `<|start_of_role|>certainty<|end_of_role|>` and continue generating), see examples below.
-2. The model will respond with a certainty percentage, quantized with steps of 10% (i.e. 05%, 15%, 25%,...95%).  Note, any additional text after the score and % can be ignored.  You can curb additional generation by setting "max token length" = 3 when using this role.
-3. Remove the generated certainty string, and if desired, use the base model to generate a response as normal (via the `assistant` role).
+1. Generate a certainty score with the adapter.
+2. The model will respond with an integer 0-9 indicating a certainty percentage quantized with steps of 10% (i.e. 05%, 15%, 25%,...95%). 
+3. If desired, use the base model to generate a response as normal, with the original input as prompt.
 
 ### Quickstart Example