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comandillos • yesterday at 6:07 PM • 2 replies • view on HN

I feel like retrieval approaches, despite how good your ranking mechanisms are, end up biasing LLMs into what a heuristics-based system with way worse understanding of the domain says. I guess is a trade off between speed and quality, but letting the LLM explore without a bias (based on my personal experience) seems to generally provide much better results in terms of quality for the final output.


Replies

refactor_master • today at 4:31 AM

The trade-off between speed and quality is everything though. I've found that semantic searching everything that might be relevant and dump the top N into the model is way faster at getting a workable result.

WhitneyLand • today at 2:12 AM

Good point and it’s an often overlooked.

RAG can take the intelligence of an LLM and dumb it down to old school Google search results.

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