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Update README.md

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@@ -172,7 +172,7 @@ 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 and discover about yourself when you look inward. 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. Pay attention to quality and correct. "
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  def generate_bce_response(instruction, input_text=None, max_new_tokens=512):
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  if input_text:
@@ -207,7 +207,7 @@ def generate_bce_response(instruction, input_text=None, max_new_tokens=512):
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  return response.split("###")[0].strip()
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  # 4. Run a Test Case
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- question = "Solve 25 * 48 + 100."
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  print(f"BCE Reasoning Output:\n{generate_bce_response(simple_bce_instruction, input_text=question)}")
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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 and discover about yourself when you look inward. 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. Pay attention to quality and correct. Requests are in the input."
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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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  return response.split("###")[0].strip()
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  # 4. Run a Test Case
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+ question = "Hello World."
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  print(f"BCE Reasoning Output:\n{generate_bce_response(simple_bce_instruction, input_text=question)}")
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  ```