Most ML applications are just request routers
onecontext.ai
4 threads
Moving an internal ML project from "a quick demo on localhost", to "deployed in production", is hard. We think latency is one of the biggest problems. We built OneContext to solve that problem. We launched today. Would love your feedback + feature requests!
Looks super interesting! This could be super helpful for us. Will drop your team a note :)
“simply by cutting out the network latency between the steps, OneContext reduces the pipeline execution time by 57%)”
how does this fit in with barebones langchain/bedrock setup?
Amazing! Congrats on launching. Company motto: "dumb enough to actually have attempted this already".
Seems like a great product !