Seeking Guidance on Fine-Tuning GPT-3.5 Turbo for a Biography-Based AI Chatbot

Hi everyone,

I am embarking on a project to fine-tune the GPT-3.5 Turbo model to create an AI chatbot. This chatbot will specialize in providing detailed insights and responses related to the life of a specific historical figure. My goal is two-fold:

  1. Biographical Knowledge: The chatbot should be able to accurately answer questions about this person’s life, achievements, and teachings, drawing from various books and sources I have compiled.
  2. Application in Modern Context: More importantly, I want the chatbot to be capable of applying the teachings and principles of this individual to contemporary situations and real-life scenarios.

I currently have multiple books and texts about this person’s life and work. However, I am seeking advice on the best way to structure and organize this content for an effective fine-tuning process. The challenge lies in not just importing raw data, but in shaping it in a manner that enables the AI to grasp both historical facts and their modern-day applications.

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