Open Issues Need Help
View All on GitHub e2e tests代码冗余 4 months ago
AI Summary: The end-to-end tests in the GraphGen project contain redundant code within the scripts generated for each task type. The goal is to refactor this code by creating a common method to eliminate duplication and improve maintainability.
Complexity:
2/5
good first issue
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
Python
#ai4science#data-generation#data-synthesis#knowledge-graph#llama-factory#llm#llm-training#pretrain#pretraining#qa#question-answering#qwen#sft#sft-data#xtuner
Quiz and Judge. Probs normalization. 5 months ago
enhancement good first issue
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
Python
#ai4science#data-generation#data-synthesis#knowledge-graph#llama-factory#llm#llm-training#pretrain#pretraining#qa#question-answering#qwen#sft#sft-data#xtuner