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Jsonformer might be a bit more popular than Nolt. We know about 9 links to it since March 2021 and only 7 links to Nolt. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Seems like nolt.io and rust feedback is privated at the moment, must have had ppl bombing it after the update. Source: 12 months ago
- Employee feedback board - a place where bigger companies can head their employees and their problems (https://nolt.io/ for employees and companies). Source: almost 2 years ago
Well it is one of the better early tier monuments, what other reason would they have for making it easier? It has always worked properly and fine. Also there was a MASSIVE uproar from the community because of it, if it wasnt just for the noobs they would have left it. https://rust.nolt.io/ had practically nothing but complaints from players on it for weeks, to this day I still occasionally see it. Not to mention... Source: about 2 years ago
If anyone at bigscreen reading this then please make a http://feedback.bigscreenvr.com/ page and use Nolt · Feedback boards your users will love or something like this or make a custom one, so anyone can see your roadmap and give suggestion and vote ideas. It will also help you to know what users want and you will also get lot of free ideas. Source: over 2 years ago
I actually did make a kit idea once and put it on the nolt.io page let me get it rq. Source: over 2 years ago
How does this compare in terms of latency, cost, and effectiveness to jsonformer? https://github.com/1rgs/jsonformer. - Source: Hacker News / 10 months ago
I'm not sure how this is different than: https://github.com/1rgs/jsonformer or https://github.com/mkuchnik/relm or https://github.com/Shopify/torch-grammar Overall there are a ton of these logit based guidance systems, the reason they don't get tons of traction is the SOTA models are behind REST APIs that don't enable this fine-grained approach. Those... - Source: Hacker News / 10 months ago
You're correct with interpreting how the model works wrt it returning tokens one at a time. The model returns one token, and the entire context window gets shifted right by one to for account it when generating the next one. As for model performance at different context sizes, it's seems a bit complicated. From what I understand, even if models are tweaked (for example using the superHOT RoPE hack or sparse... - Source: Hacker News / 11 months ago
From here, we just need to continue generating tokens until we get to a closing quote. This approach was borrowed from Jsonformer which uses a similar approach to induce LLMs to generate structured output. Continuing to do so for each property using Replit's code LLM gives the following output:. - Source: dev.to / 11 months ago
Https://github.com/1rgs/jsonformer or https://github.com/microsoft/guidance may help get better results, but I ended up with a bit more of a custom solution. Source: 12 months ago
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