Life & fun · September 17, 2022
Bulk set properties recursively in complex JSON string trees
An Experimental Regex Engine to Parse and Apply Bulk Changes to a JSON String Without Using 'JSON.parse()' for Deserialization - patternhelloworld/json-knife
Bulk set properties recursively in complex JSON string trees launched on September 17, 2022 with 8 votes, #1,076 of 3,464 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 4 years on.
Does a similar job
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Json-knife (update huge JSON string recursively with regex)2020 · github.com · ▲6An Experimental Regex Engine to Parse and Apply Bulk Changes to a JSON String Without Using 'JSON.parse()' for Deserialization - patternhelloworld/json-knife
LLMs can generate valid JSON 100% of the time2023 · github.com · ▲854Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
JsonTree, a tool for turning JSON data into a collapsible html tree2016 · github.com · ▲9A lightweight vanilla Javascript micro-library for making collapsible trees with JSON - MaxLeiter/jsonTree
The Changelog - #189: JSON API with Yehuda Katz2016 · changelog.com · ▲66Yehuda's start as a programmer and the spec for building API
- JAJsonTree, a 3.53kb JavaScript tool for generating html trees from JSON2017 · maxleiter.github.io · ▲78
a lightweight dependency free javascript micro-library for making collapsable trees with JSON
- ATAnything To JSON – a language model for structured extraction2024 · anythingtojson.com · ▲18
Hey HN! Erik here from banana.dev We’ve trained a small(ish) language model on structured extraction, and today we’re launching a playground for it at https://anythingtojson.com. Give it a try! This model continues our work on structured generation, following last week’s launch of Fructose[1], a python client for strongly-typed LLM responses. There seem to be two distinct halves of the problem intended to be solved by Fructose and structured generation: 1. the reasoning ability of the model, such as performing chain of thought, creative acts, and natural language tasks. In a way,…
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