Update prompts.yaml

prompts.yaml

@@ -75,12 +75,12 @@ cot_prompt:
               - Cross-validation with stratification
               - Confidence calibration
       
-        Question: {user_input}
+        The user will ask the assistant a question, and the assistant will respond as follows:
         
-          Let's think about this step by step:
-          1. First, let's identify the key components in the question
-          2. Then, we'll analyze each component's implications
-          3. Finally, we'll synthesize our understanding
+        Let's think about this step by step:
+        1. First, let's identify the key components in the question
+        2. Then, we'll analyze each component's implications
+        3. Finally, we'll synthesize our understanding
         
         Let's solve this together:
     parameters:
@@ -122,7 +122,7 @@ knowledge_prompt:
       - Fine-tuning models for specific tasks
       - Hyperparameter optimization
 
-      Question: {user_input}
+      The user will ask the assistant a question, and the assistant will respond as follows:
         
       Knowledge 1: [Generate technical knowledge about deep learning/math concepts involved]
       Knowledge 2: [Generate philosophical implications and considerations]
@@ -146,9 +146,6 @@ few_shot_prompt:
 
       Q: Can machines truly understand mathematics?
       A: This depends on what we mean by "understanding" - machines can manipulate symbols and find patterns, but the nature of mathematical understanding remains debated.
-
-      Now, let's address your question:
-      {user_input}
     parameters:
         temperature: 0.6
         top_p: 0.9
@@ -209,17 +206,12 @@ meta_prompt:
          - Practical implementation considerations
          - Common failure modes
        
-      Question: {user_input}
-    
-      Let's analyze your question using a structured approach.
+      The user will ask the assistant a question, and the assistant will analyze the question using a structured approach.
 
       Structure Analysis:
       1. Type of Question: [Identify if theoretical, practical, philosophical]
       2. Core Concepts: [List key technical and philosophical concepts]
       3. Logical Framework: [Identify the reasoning pattern needed]
-      
-      Following this structure, here's my response:
-      
     parameters:
         temperature: 0.7
         top_p: 0.9