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Based on our record, Jsonformer should be more popular than Wized. It has been mentiond 9 times since March 2021. 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.
Webflow doesn't natively do SaaS app well. But a few companies are starting to create templates that do. https://www.tangram.co/ and wized.io are both options. Source: over 2 years ago
I recently stumbled upon wized.io. I'm now thinking that I could do this whole thing with webflow, wized as the backend and user interface and maybe airtable as the database. Unfortunately this leaves airtable readable to me and I would prefer if I couldn't see the data stored in the database, but I'll just have to work with this :D. Source: about 3 years ago
I was thinking about a combination of webflow + airtable + memberstack + zapier (I also read about wized.io?), do you know if I can do all the required stuff with these tools? Source: over 3 years ago
How does this compare in terms of latency, cost, and effectiveness to jsonformer? https://github.com/1rgs/jsonformer. - Source: Hacker News / almost 2 years 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 / almost 2 years 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 / almost 2 years 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 / almost 2 years 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: almost 2 years ago
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