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Is DeepSeek about to cause a stock market crash?
(uk.finance.yahoo.com)
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this post was submitted on 27 Jan 2025
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It doesn't work in the average case. I've seen this tactic from the company that I work for and multiple companies I have contacts at. Bosses think they can simply use "AI" to fix their hollowed out documentation, on-boarding, employee education systems by pushing a bunch of half correct, barely legible "documentation" through an LLM.
It just spits out garbage for 90% of people doing this. It's a garbage in garbage out process. In order for it to even be useful you need a specific type of LLM (a RAG) and for your documentation to be high quality.
Here's an example project: https://github.com/snexus/llm-search
The demo works well because it uses a well documented open source library. It's also not a guarantee that it won't hallucinate or get mixed up. A RAG works simply by priming the generator with "context" related to your query, if your model weights are strong enough your context won't outweigh the allure of statistical hallucination.