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LLM progress is slowing — what will it mean for AI?
It’s easy to forget how much has happened since the launch of ChatGPT. Now, for the first time, there are signs that pace might be slowing.
Each substantial improvement in LLM power has made a big difference to what teams can build and, even more critically, get to work reliably. If not, and we continue to see diminishing progress in other public LLM models as well, I anticipate profound implications for the larger AI space. Tapping images and video for training would mean not only a potential stark improvement in how models handle non-text inputs, but also more nuance and subtlety in understanding queries.
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