an early demo of onchain LLM inference inside an octra circle (unencrypted) is now available through webcli.
to test, install webcli, run ./octra_wallet and navigate to:
http://127.0.0.1:8420/circles.html?uri=oct://oct99BWHFpV5r54DXKc2FhsBmZEaS6Q8zvCQrHRgXUcK4Fk%2Findex.html
λ (@lambda0xE)
an early release of the graph-based LLM (v0.0.1 pre-alpha) running on circles is already available on devnet at: oct://oct99BWHFpV5r54DXKc2FhsBmZEaS6Q8zvCQrHRgXUcK4Fk/index.html
give it a try and say hello, it’s still slow, but that’s just a matter of a couple of days while we run benchmarks and fine tune the KV cache mech
the roadmap for this thing is straightforward: various models ranging from simple to complex, "agent-tools" (don't really like that buzzword, but i decided to put it because in rare cases it actually makes sense) that the models can utilize, customizable privacy levels, internet access via HFHE + CircleGate + Tor (optional), membranes, and much more
— https://nitter.net/lambda0xE/status/2085720841279488199#m