Popular GitHub Repositories for Json Output

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A game theoretic approach to explain the output of any machine learning model.

Structured Text Generation

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

JavaScript 对象的差异比较与修补

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown

Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.

A curated set of 200 plug-and-play n8n workflows that fuse classic automation with today’s AI stack—vector DBs, embeddings, and LLMs. Import any JSON, add your creds, hit Activate, and you’re live. Built to demo, prototype, or drop straight into production.

A python module to repair invalid JSON from LLMs

Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

The Declarative Data Generator

TrustRAG：The RAG Framework within Reliable input,Trusted output

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Emacs as your personal AI assistant. Use LLMs such as ChatGPT or LLaMA for text generation or DALL-E and Stable Diffusion for image generation. Also supports speech input / output.

A script to effortlessly extract your entire ChatGPT data export from JSON files to nicely-formatted markdown files.

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.