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.
[x] Change the LLM model for GROQ or GPT 3.5 Turbo (If we decide to pay)
[x] Using the prompt format from MS Teams generate queries for chromaDB in JSON format
[ ] Implement logic for RAG. Using the generated queries and the context format grade the task.
[x] Response should be in JSON as follows [{points: 5, description: "1-2 sentences why so "}]
[x] Create a report file with gradings in order to provide the context for LLM to grade Conclusions section as it should be related to the outcome of the experiments