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This increase in accuracy is important to make AI applications good enough for production , but there has been an explosion in the size of these models. In the graph below, borrowed from the same article, you can see how some of the most cutting-edge algorithms in deep learning have increased in terms of model size over time.
Applications ( here ) start with a simple 300 word expression of interest and are open until April 15, 2025. We have plans to fund $40M in grants and have available funding for substantially more depending on application quality. Inter-model messages: Some applications of LLMs involve multiple models working together.
The other part is the really exciting part because it has applications to what other people are doing in mech interp, which is that if you were just doing this epsilon-ball propagation, youd still have to do it for every data point separately, which saves you nothing because you still need to propagate every data point through the network.
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