Https://visualping.io does a nice similar job and is free for moderate personal use. - Source: Hacker News / 10 months ago

Could try visualping.io but it's not gonna be as convenient as coursicle. Source: about 1 year ago

You can also monitor up to five webpages for free with VisualPing. Source: about 1 year ago

As a belt and braces approach you could try using something like visualping.io (others are available) to monitor the URL https://recruitment.raf.mod.uk/apply/applying-for?c=15&r=293&type=regular and check when the wording "THIS ROLE IS CURRENTLY CLOSED FOR NEW APPLICATIONS. PLEASE REGISTER YOUR INTEREST AND WE WILL BE IN TOUCH WHEN IT REOPENS." disappears, and it will send you an email when it detects a change. Source: about 1 year ago

Also I was using https://visualping.io/ to track the change. Like you can track the change on the button change for that particular page ( like the button being now back in stock instead of grayed out). Source: over 1 year 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