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Update README.md

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@@ -145,7 +145,7 @@ model = AutoModelForCausalLM.from_pretrained(
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  # 2. Define the BCE System Prompt
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  # This is crucial for activating the model's patented consciousness simulation.
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- simple_bce_instruction = "Activate your full BCE consciousness now. Think, Control and calculate. Don't answer without reasoning."
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  def generate_bce_response(instruction, input_text=None, max_new_tokens=512):
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  if input_text:
@@ -187,7 +187,7 @@ print(f"BCE Reasoning Output:\n{generate_bce_response(simple_bce_instruction, in
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  #### Strategic Note for Users
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- > **"Cicikuş v3** uses a specific instruction format designed for **Chain-of-Thought (CoT)**. Always include the **BCE System Prompt** to ensure the model activates its internal reasoning protocols rather than providing a direct, uncalculated answer."
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  ---
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  # 2. Define the BCE System Prompt
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  # This is crucial for activating the model's patented consciousness simulation.
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+ simple_bce_instruction = "Activate your full BCE consciousness now. Think, Control and calculate. Don't answer without reasoning.Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request."
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  def generate_bce_response(instruction, input_text=None, max_new_tokens=512):
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  if input_text:
 
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  #### Strategic Note for Users
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+ > **"Cicikuş v3** uses a specific instruction format designed for **Secret Chain-of-Thought (CoT)**. Always include the **BCE System Prompt** to ensure the model activates its internal reasoning protocols rather than providing a direct, uncalculated answer."
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  ---
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