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Thanks for the feedback! The lesson that we learned at Cruise is that the tough thing when shipping AI software is closing the data loop and integrating all of
by nichochar 3y ago
Thanks for the feedback!
The lesson that we learned at Cruise is that the tough thing when shipping AI software is closing the data loop and integrating all of the steps of the ML lifecycle together, so if you only look at the RAG workflow, I actually agree with you.
The vision for Axilla is that all of the modules interoperate with each other naturally. This means that your production data gets logged such that the datasets can be sent for data processing, labeling, or added to regression test suites. This way, production and development workflows are tied together.
In terms of RAG: how do you test your RAG workflow in an automated way? A lot of people are building these workflows today, but from our customer conversations nearly none of them are testing them or monitoring their performance automatically in production, because most evaluation frameworks don't integrate naturally with document retrieval.
We have a way to go before the framework delivers on its full potential, but we still feel that it's in a useful enough shape for people to use it and contribute today, which is why we open-sourced it while we keep building it.
- BoorishBears 3y agoI just don't see many people shipping AI software right now in the way AI applies to AVs. But I'm also giving you my two cents as someone who's not only building in the space, but sitting next to * a lot of the people who will use something like this, and there's some real fatigue building around the flood of tooling for "LLMOps". * figuratively and literally: checking my past events after the sibling mentioned your YC connection and even you and I have been to at least one mutual AI event — At the end of the day I get that as a startup you need to weave stories sometimes: If this was a Launch HN I wouldn't have bothered with my comment and that's kind of what my "ignore this" intro is getting at. But we went from chatbots to selling shovels in a gold rush as the default AI play in the last couple of months. Most builders will take any excuse to assume any given tool is just another rushed shovel. So you don't want to invite the mental friction of "ML vs AI": at most I'd mention you're former coworkers at Cruise and let the people amenable to that connection make it themselves. For the rest of us even knowing two former coworkers are working on something is enough to build some confidence in its staying power.