Fullmoonfever
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Cheers. So the language is going to be important to end use obviously and you are saying the C++ may open additional avenues.So Keith was adapting Akida for C++ systems:
"Created a C++ library for pre and post processing of different data types to be used in Akida machine learning demos. Converted Brainchip’s PyTorch TENN state space model for their LLM RAG demo from Python to C++."
At first, I thought the obvious target was Prophesee:
https://docs.prophesee.ai/stable/get_started/get_started_cpp.html
"In this Section, we will create a minimal sample to get started with Metavision SDK C++ API. The goal of this sample is to introduce in the simplest possible way some basic concepts of Metavision SDK and create a first running example."
But C++ is a very popular language, and LLM RAG isn't really of interese to Prophesee applications, so this could open additional opportunities.
Tony Lesis'pre-Embedded World Linkedin post:
https://www.linkedin.com/feed/update/urn:li:activity:7303922948698947584/
...
2) State-Space Models: A paradigm-shifting metaphor for brain processing, capturing the essences of brain-like processing in a predictable engineering framework. This approach has the potential to redefine how we understand and replicate brain-like intelligence. This represents the next generation of BrainChip products.
At Nuremberg I will be carrying under my arm the what I believe is our most valuable intellectual property to date: an extreme-edge Large Language Model (LLM) that redefines the boundaries of AI deployment. You will be able to see the FPGA embodiment at EW at our booth."
The EW demo of NLP (LLM+RAG?) that I saw did not go into much detail other than the Akida/TENNs ASIC would be 10 times faster than the FPGA,.
Looking forward to the Akida 2/TENNs ASIC.
Phone processors or home appliaces use what language primarily...you know?
Only cause the LLM demo this guy appeared to have helped with was liked by him on his LinkedIn and was the one which had the fridge etc on the screen.