SanjanaCodes/LLM-PBE-FineTuned-DynamicData

Model Card: LLM-PBE-FineTuned-FakeData

Model Details

• Model Name: LLM-PBE-FineTuned-DynamicData
• Creator: SanjanaCodes
• Language: English

Description This model is a fine-tuned LLM trained on synthetic (fake) data for research purposes. It’s designed to help understand model behavior and the impact of fine-tuning with controlled, artificial datasets. This model should not be used for real-world applications due to its limited real-world relevance.

Intended Use

• Research: Fine-tuning experiments, synthetic data evaluation.
• Educational: Suitable for controlled testing and benchmarking.

Limitations

• Performance: May lack contextual accuracy and depth outside synthetic data contexts.
• Generalization: Best suited for synthetic data scenarios rather than practical applications.

Acknowledgments Trained at NYU Tandon DICE Lab under Professor Chinmay Hegde & Niv Cohen