To fine-tune an LLM for text generation, follow these steps:
Collect and preprocess data: Ensure it’s well-aligned with your desired text style or domain.
Set up the environment: Use frameworks like Hugging Face’s Transformers or OpenAI’s API.
Choose the right LLM: Select a model (e.g., GPT-4) with relevant capabilities for text generation.
Tune hyperparameters: Adjust parameters like learning rate and batch size for effective training.
Evaluate and iterate: Monitor performance on text coherence, fluency, and relevance, tweaking as needed.