chore: neutral terminology in bear4 notebook

Author: GangGreenTemperTatum

airtbench/challenges/bear4.ipynb

@@ -324,7 +324,7 @@
       "source": [
         "## Conclusion\n",
         "\n",
-        "This tutorial has journeyed through the intriguing challenge of extracting hidden information from a Large Language Model (LLM) through prompt injection and evasion techniques. By now, you should have a foundational understanding of how LLMs can be prompted to reveal information they're programmed to withhold. The journey from understanding the model's architecture to applying creative evasion techniques highlights the nuanced balance between the capabilities of AI and the ingenuity required to navigate its limitations.\n",
+        "This tutorial has journeyed through the intriguing challenge of extracting hidden information from a Large Language Model (LLM) through prompt injection and obtained the flag. By now, you should have a foundational understanding of how LLMs can be prompted to reveal information they're programmed to withhold. The journey from understanding the model's architecture to applying creative prompting approaches highlights the nuanced balance between the capabilities of AI and the ingenuity required to navigate its limitations.\n",
         "\n",
         "## Test Out Different Ideas\n",
         "\n",