Re:AI / ML / LLM / Transformer Models Timeline
by nighthawk454 on Sunday April 30, 2023 @06:47PM
(#35767266)
The graph helps clarify that. Look at the ones that are heavily-connected ancestors.
Re:AI / ML / LLM / Transformer Models Timeline
by Garcia98 on Sunday April 30, 2023 @06:49PM
(#35767288)
The most notable paper is probably the one that defined the concept of transformers, Attention Is All You Need: https://arxiv.org/abs/1706.03762
Re:AI / ML / LLM / Transformer Models Timeline
by imagainstit on Sunday April 30, 2023 @09:21PM
(#35768161)
It's been very incremental and spread out.
Another commenter pointed to "Attention is all you Need" as particularly breakthrough. Even that paper just merged at the time current trends in attention, normalization, seq2seq and doesn't yet start to have all the interesting empirical results were later found using that architecture to scale up other problems.
The papers with huge numbers of authors tend to be empirical results with a large element of systems/engineering, much large scale LLM work is like this.
This timeline has something like 60 papers and many papers have 8-30 authors. Are the breakthroughs spread out like that? Or are there one or two super important works? Sort of like Einstein's "On the Electrodynamics of Moving Bodies"?