Prompt Engineering and Retrieval-Augmented Generation as Solutions

The use of prompt engineering has been surprisingly effective in minimizing the need for fine-tuning in AI models, with a focus on integrating factual context. As models are trained on public internet data, they lack insight into private information, creating the need for a hybrid system of search or information retrieval combined with generation. Retrieval augmented generation (RAG) has emerged as a powerful solution to this challenge, providing an effective approach to integrating private and up-to-date information into AI models.

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