What can LLMs never do?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • gpts-cant-count

    Demo of even the most advanced LLMs' inability to handle basic arithmetic.

    Simple addition, among other things:

    https://github.com/0xnurl/gpts-cant-count

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  • memorizing-transformers-pytorch

    Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

    At one point I experimented a little with transformers that had access to external memory searchable via KNN lookups https://github.com/lucidrains/memorizing-transformers-pytorc... or via routed queries with https://github.com/glassroom/heinsen_routing . Both approaches seemed to work for me, but I had to put that work on hold for reasons outside my control.

  • At one point I experimented a little with transformers that had access to external memory searchable via KNN lookups https://github.com/lucidrains/memorizing-transformers-pytorc... or via routed queries with https://github.com/glassroom/heinsen_routing . Both approaches seemed to work for me, but I had to put that work on hold for reasons outside my control.

  • heinsen_routing

    Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

    At one point I experimented a little with transformers that had access to external memory searchable via KNN lookups https://github.com/lucidrains/memorizing-transformers-pytorc... or via routed queries with https://github.com/glassroom/heinsen_routing . Both approaches seemed to work for me, but I had to put that work on hold for reasons outside my control.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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