this post was submitted on 13 Jun 2024
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It can use ChatGPT I believe, or you could use a local GPT or several other LLM architectures.
GPTs are trained by "trying to fill in the next word", or more simply could be described as a "spicy autocomplete", whereas BERTs try to "fill in the blanks". So it might be worth looking into other LLM architectures if you're not in the market for an autocomplete.
Personally, I'm going to look into this. Also it would furnish a good excuse to learn about Docker and how SearXNG works.