The project aims to create a system that generates genuine narratives within a text-based RPG game. The core idea is to move beyond simple random text generation and create narratives that feel more natural and engaging for the player.
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Implement Fine-Tuning and Customization (If Needed): #8
8.3.1. Identify Fine-Tuning Needs:
Determine if fine-tuning is necessary to improve the LLM's performance on specific tasks, such as generating dialogue in a particular style or adhering to specific world-building rules.
8.3.2. Prepare Training Data:
If fine-tuning is required, prepare a suitable training dataset that aligns with the desired narrative style and content.
8.3.3. Implement Fine-Tuning Process:
Fine-tune the LLM using the prepared training data, monitoring performance and adjusting parameters as needed.
8.3.4. Evaluate Fine-Tuned Model:
Evaluate the performance of the fine-tuned model to ensure it meets the project's requirements and produces the desired narrative quality.
8.3.1. Identify Fine-Tuning Needs: Determine if fine-tuning is necessary to improve the LLM's performance on specific tasks, such as generating dialogue in a particular style or adhering to specific world-building rules.
8.3.2. Prepare Training Data: If fine-tuning is required, prepare a suitable training dataset that aligns with the desired narrative style and content.
8.3.3. Implement Fine-Tuning Process: Fine-tune the LLM using the prepared training data, monitoring performance and adjusting parameters as needed.
8.3.4. Evaluate Fine-Tuned Model: Evaluate the performance of the fine-tuned model to ensure it meets the project's requirements and produces the desired narrative quality.