The "AutoStudentReportLLMs" repo features a complete implementation for automated student report evaluation, utilizing advanced language models (e.g., BERT, Mistral). It encompasses UI code, seamless PDF/Word integration, and detailed documentation on architecture, technologies, and test results.
[ ] Implement logic for RAG. Using the generated queries and the context format grade the task.
[ ] Change logic, so that the whole raport is graded, instead of exercises only.
[ ] Implement models as abstract factory (LLM and Groq)
[ ] Provide model classes with single responsibility. Model classes should only be responsible for "Talking to the model" not modifying data.