4. Language-Specific Texts

• Native Language Content: If the goal is to strengthen the model in your own language, include as much native language content as possible, such as cultural books, literature, websites, and social media dialogues.

5. Regular Updates

• Dynamic Content: Continuously add new, updated, and relevant information from credible sources to ensure the LLM stays updated with current knowledge in your domain.

6. Monitor the Finetuning

• Track Performance: Regularly evaluate the LLM’s outputs after it finetunes on new data to ensure that the quality and accuracy remain high. You can create benchmark tasks for this purpose.