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 Laboratory work №7. Large Language Models no. 1.

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.

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.

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.