Percentage rollouts, RBAC, audit history, A/B testing, multivariate - it gets complex quick. That boolean turns into a whole system you have to maintain and operate.
A ceasefire without security guarantees is just a temporary pause for russia to rearm and continue on. None of the justifications for russia's invasion have changed, and this would mean the US will roll over for anything.
I think it doesn't need to be specifically text based, but given that LLMs are usually trained on primarily text (at least currently), I'm not sure they'd be meaningfully able to generate binary directly.
As for using DBs, that's certainly an option (i.e. langchain and such), but at some point you do still need to bring in the data inside the context, so I'd say it's still interesting to consider what would be an efficient way to represent that data via text.
I ran a small test comparing different data serialization formats for use with GPT models (and possibly other LLMs). This is obviously very limited but it was striking how much of a difference switching from JSON to something like YAML could be.
I wonder if we might also see LLM specific data serialisation formats in the future, to make use of tokenization in the most efficient manner and enhance the generative capability of the models.
How does this compare with https://www.tabnine.com/enterprise, which is also self-hosted, trained on permissively licensed repositories and supports training on private repos?
I use it for 3D printing mainly. It's pretty good, but 0.18.x had some annoying bugs (i.e. it would occasionally just crash, wiping everything since the last time you saved). Nothing show-stopper if you save often and don't do anything too crazy.
I personally prefer Fusion 360 (it feels sleeker and is way more usable with a touchpad), but it's definitely a viable choice.
Have exclusively used ESLint for TypeScript over the past year. It works great, no issues. The only slight problem is some rules conflict, but that only comes into play if using a comprehensive preset like airbnb.
It would be great to have a few pre-selected example queries immediately clickable, to see some examples. That would help showcase why this is cool and what you can do with it. And maybe why it's better than other search tools (i.e. built-in github one).