LLMs for Schema Augmentation

• jsonformer

  25 3,868 5.4 Jupyter Notebook

  A Bulletproof Way to Generate Structured JSON from Language Models

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:

• zod

  292 30,630 9.1 TypeScript

  TypeScript-first schema validation with static type inference

While it's not perfect, and not obviously useful for such a small schema, I think the results are promising. I've also tried several other schema formats such as Zod, Typescript object types, and Pydantic. A lot more experimentation is required with these different formats and various LLMs to see which works best. So far, I'm pretty pleased with results. The code for this post is available on GitHub.

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• annotate-schema

  1 2 9.0 Python

While it's not perfect, and not obviously useful for such a small schema, I think the results are promising. I've also tried several other schema formats such as Zod, Typescript object types, and Pydantic. A lot more experimentation is required with these different formats and various LLMs to see which works best. So far, I'm pretty pleased with results. The code for this post is available on GitHub.

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