I expect there is a lot of work going into LLM and Akida2+. Imagine if they can work the neuromorphic Spiking into a LLM making it into a Small LM to use just by the spike, the spike being the change or question which reduces the LLM down a size manageable on a small edge device and the remainder is compressed and not used until the next query. Particularly if the Language model can already be shortened by the specifics the device its intention is for. It will all come down to how the spike can be implemented which will give the neuromorphic edge that other systems can't compete against.
My musing only and reply to your question when will Akida support LLMs? which I believe will be as soon as Akida's acceptance rises and it is accepted as the standard and used in everything edge worthy, just like as stated by the company itself. So later this year or 2025 is my hope.
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