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Programming LLM:
Generate grading criterion, double check feedback and filter out solutions
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add grading instructions to the prompt, get points
Oct 7, 2024
Programming LLM:
Generate grading criterion, double check feedback and filter out solutions
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# Conflicts: # llm_core/llm_core/utils/llm_utils.py # modules/modeling/module_modeling_llm/poetry.lock # modules/modeling/module_modeling_llm/pyproject.toml # modules/programming/module_programming_llm/module_programming_llm/config.py # modules/programming/module_programming_llm/module_programming_llm/generate_graded_suggestions_by_file.py # modules/programming/module_programming_llm/module_programming_llm/generate_non_graded_suggestions_by_file.py # modules/programming/module_programming_llm/module_programming_llm/generate_summary_by_file.py # modules/programming/module_programming_llm/module_programming_llm/helpers/models/model_config.py # modules/programming/module_programming_llm/module_programming_llm/helpers/models/openai.py # modules/programming/module_programming_llm/module_programming_llm/helpers/models/replicate.py # modules/programming/module_programming_llm/module_programming_llm/split_grading_instructions_by_file.py # modules/programming/module_programming_llm/module_programming_llm/split_problem_statement_by_file.py # modules/programming/module_programming_llm/poetry.lock # modules/programming/module_programming_llm/pyproject.toml # modules/text/module_text_llm/poetry.lock # modules/text/module_text_llm/pyproject.toml
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Motivation and Context
This change reworks the structure of the Programming LLM module to improve its maintainability, readability, and prompt processing efficiency. The initial monolithic prompt was subdivided into smaller, fine-tuned prompts, each encapsulated within individual steps and chained together. This enhances modularity and allows more flexibility in handling the different stages of LLM-based feedback generation.
Description
Steps for Testing
Test the changes by using the usual Playground functionality.
Ensure that the step-by-step chaining of prompts works as expected and that the overall feedback generation system operates without regressions.
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