2. Preprocessing the Texts

• Clean the Texts: Before putting them in the server, make sure to remove irrelevant content (e.g., advertisements, footnotes, repeated sections). You can use text-cleaning scripts to automate this process.
• Structured Information: Segment texts into structured categories (e.g., tutorials, conversational dialogues, FAQs). This allows the LLM to better learn from the context and purpose of each text.

3. Diversity and Variety

• Language Variety: Provide a broad spectrum of writing styles, such as formal, informal, technical, and creative writing, to help the model learn from different registers of language use.
• Different Formats: Include different types of documents such as blog posts, essays, conversations, and narratives. This makes the model more versatile in understanding and generating various text types.