Update first_agent.ipynb

book/first_agent.ipynb

@@ -407,7 +407,7 @@
    "id": "4a7f9b5f-cfe3-4b9c-9190-33d9505beedd",
    "metadata": {},
    "source": [
-    "## Lessons Learned\n",
+    "## Summary\n",
     "By following the [Custom Agent](https://python.langchain.com/docs/modules/agents/how_to/custom_agent/) tutorial from the Langchain documentation we were able to create a first simulation agent, which calls specialized python frameworks like [ASE](https://wiki.fysik.dtu.dk/ase/) to address material-science specific questions. Still it is important to carefully engineer the prompt of the agent, otherwise even these LLMs with access to specialized agents tend to hallucinat."
    ]
   },