Fine-tune a pre-trained Large Language Model (e.g., GPT, BERT, T5) on your specific dataset to achieve better performance on tasks such as custom text generation, domain-specific Q&A, or specialized content creation. The fine-tuned model will be optimized for your particular use case.
Format: Python code (.py files), fine-tuned model files, and Jupyter Notebook (.ipynb) with instructions for use.
Quantity: 1 fine-tuned LLM
Revisions: Up to 2 revisions for further tuning or parameter adjustments.