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svcrunch | 2 years ago

I believe that retrieval-augmented generation is the right path to generative AI within organizations, at least for the next few years. Trying to directly fine-tune an LLM on your data also runs into issues with enforcing access permissions.

However, instead of simply being a post-processing step at the end of an IR pipeline, LLMs will eventually sandwhich the IR system, along the lines of the [Demonstrate, Search, Predict framework](https://arxiv.org/abs/2212.14024) by Khattab et al.

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ofermend|2 years ago

Agreed. Utilizing the power of LLMs with RMs (retrieval models) can be much more powerful, and I expect RAG implementations to progress in that direction in the coming years.