Rename lessons learned to summary

book/energy_volume_curve.ipynb

@@ -340,7 +340,7 @@
    "id": "555d589b-8607-410f-8a37-12aefd2fec59",
    "metadata": {},
    "source": [
-    "## Lessons learned\n",
+    "## Summary\n",
     "The important point in this example is that at no point the order in which the functions should be executed. Instead the LLM automatically determines that `plot_equation_of_state()` needs an `AtomsDict()` object as input and that `get_equilibirum_lattice()` returns such a `AtomsDict()` object, so it makes sense to call `get_equilibirum_lattice()` first and `plot_equation_of_state()` second. The same principles apply to a LLM agents with a larger number of python functions. \n",
     "\n",
     "The limiting point at the moment is that the LLMs are web services, so all Python objects have to be converted to JSON to be communicated to the LLMs. This restricts the choice of Python objects and requires the development of specialized data classes to construct those interfaces between different Python functions. "