fix the displayed information for md file

ideas_practice/code/prompting_strategies.md

@@ -3,50 +3,46 @@ This file describes the different strategies used for the prompting process and
 ## Baseline (baseline):
 The questions will be given to the model as is without any additional context. 
 Prompts have the following format:
-"""
+```
 You are a helpful medical expert who answers with either yes or no to questions.
 
 Question: <question> 
-"""
+```
 
 ## All in One None Resolve (aionr):
 The questions will be given to the model as is with additional triples in their raw format.
 Prompts have the following format:
-"""
+```
 You are a helpful medical expert who answers with either yes or no. Consider the information in triple quotes as factual knowledge.
 
 """<s1> has relationshsip <r1> to <o1>"""
 """<s2> has relationshsip <r2> to <o2>"""
 
 Question: <question>
-"""
+```
 
 ## All in One NL Resolve (aionlr):
 The questions will be given to the model as is with additional triples in the form of natural sentences.
 Prompts have the following format:
-"""
+```
 You are a helpful medical expert who answers with either yes or no. Consider the information in triple quotes as factual knowledge.
 
 """<NL sentence for s1r1o1>"""
 """<NL sentence for s2r2o2>"""
 
 Question: <question>
-"""
+```
 
 ## Chain of Thought (cot):
 The questions will be given to the model as is. After the answer the model will be iteratively asked to reevaluate their answer given a triple in NL sentence form.
-"""
+```
 You are a helpful medical expert who answers with either yes or no. Consider the information in triple quotes as factual knowledge.
 
 Question: <question>
-"""
 
-"""
 Given our previous conversation and the following information in triple quotes reevaluate your answer.
 """<NL sentence for s1r1o1>"""
-"""
 
-"""
 Given our previous conversation and the following information in triple quotes reevaluate your answer.
 """<NL sentence for s2r2o2>"""
-"""
+```