The future is yours!

In this chapter, we implemented several methods to automate generative ideation. You can take this much further by imagining many other pipelines for each component of the automated pipeline:

1. No prompt, automated instructions

   This chapter illustrated one way of automating human prompts. However, each project has its constraints. Among other automated and RAG approaches, you could explore:

   • Chapter 11, Leveraging LLM Embeddings as an Alternative to Fine-Tuning. The Transfer_Learning_with_Ada_Embeddings.ipynb notebook shows how to process larger documents.
   • Chapter 15, Guarding the Giants: Mitigating Risks in Large Language Models. The Mitigating_Generative_AI.ipynb notebook shows how to use a knowledge base to retrieve information.

2. Generative AI prompts without human intervention

   In this section, we automated prompt generation with ChatGPT/GPT-4. However, you could also use other LLMs, such as Llama, as shown...