Software Alternatives, Accelerators & Startups

EditMode VS Jsonformer

Compare EditMode VS Jsonformer and see what are their differences

EditMode logo EditMode

Update website texts in real-time and get a sharable link.

Jsonformer logo Jsonformer

A Bulletproof Way to Generate Structured JSON from Language Models - GitHub - 1rgs/jsonformer: A Bulletproof Way to Generate Structured JSON from Language Models
  • EditMode Landing page
    Landing page //
    2021-07-24
  • Jsonformer Landing page
    Landing page //
    2023-09-01

Category Popularity

0-100% (relative to EditMode and Jsonformer)
Productivity
84 84%
16% 16
Utilities
0 0%
100% 100
Design Tools
100 100%
0% 0
Large Language Model Tools

User comments

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Social recommendations and mentions

Based on our record, Jsonformer seems to be more popular. 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.

EditMode mentions (0)

We have not tracked any mentions of EditMode yet. Tracking of EditMode recommendations started around Mar 2021.

Jsonformer mentions (9)

  • Show HN: LLMs can generate valid JSON 100% of the time
    How does this compare in terms of latency, cost, and effectiveness to jsonformer? https://github.com/1rgs/jsonformer. - Source: Hacker News / 10 months ago
  • Show HN: LLMs can generate valid JSON 100% of the time
    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
  • Ask HN: Explain how size of input changes ChatGPT performance
    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 / 10 months ago
  • LLMs for Schema Augmentation
    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
  • Doesn't a 4090 massively overpower a 3090 for running local LLMs?
    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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What are some alternatives?

When comparing EditMode and Jsonformer, you can also consider the following products

Edit - Edit any website, no code required

Browserflow - Browserflow is a Chrome extension that lets you automate any task on any website.

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Lamini - LLM Engine for Rapidly Customizing Models

Jam - Portable bluetooth speakers that set you and your jams free. Wireless speakers, great sound quality, and totally portable, need we say more?

Upvoty - User feedback in 1 simple overview 🔥