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this post was submitted on 18 Jun 2023
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Technology
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My take is that "L"LMs are already old news. I think targeted or limited data-set language models are going to be the next wave.
I think this partly because very few people can do LLMs at the scale of Microsoft and Google so I think smaller firms and people in their garage are going to aim their sights and smaller targeted data sets with a eye towards factual accuracy.
And then maybe link them/daisy chain them together. I hope there is this unix philosophy for models where they do one thing well but you can 'pipe' data from one to another.