Laboratory work №8. Large Language Models no. 2
===============================================

Since the core concept of this laboratory work closely mirrors Laboratory Work No. 7,
the documentation remains unchanged. Hence, you can refer to the complete documentation
about implementation tactic in :ref:`lab-7-label`.

Start working with laboratory work
----------------------------------

Start your implementation by selecting a new combination of model and dataset you are going to use.
You can find all available combinations
in the `table <https://docs.google.com/spreadsheets/d/1_GTEa3RUkOqdZ82q1SrD7YkOeV3fr8APNcUAC6o0K4M/edit?usp=sharing>`__.

.. important:: You have to open new Pull Request to implement Laboratory Work №8.

.. note:: All logic for instantiating and using needed abstractions
          should be implemented in a ``main()`` function of a ``start.py`` module.

To do this, implement the functions in the ``main.py`` module in ``lab_8_llm`` folder
and import them into ``start.py`` module in ``lab_8_llm`` folder.

.. code:: py

   if __name__ == '__main__':
       main()

.. note:: You need to set the desired mark: 4, 6, 8 or 10 in the ``target_score`` field
          in the ``settings.json`` file. The higher the desired mark, the more
          number of tests run when checking your Pull Request.