Structured outputs for LLMs in Elixir

OpenAI Python Library Tutorial by Datalumina®

Reasoning AI Workflows (devtools included)

Python library for the instruction and reliable validation of structured outputs (JSON) of Large Language Models (LLMs) with Ollama and Pydantic. -> Deterministic work with LLMs.

Extract structured data from any unstructured web page

Pydantic + Instructor for Rust: extract structured, validated data from LLMs (OpenAI GPT, Anthropic Claude, Gemini, Grok/xAI) into native Rust structs & enums. Derive macros auto-generate JSON Schema, parse responses, and retry on validation errors. Type-safe structured outputs & function calling.

Delphi FMX component for a better way for new feature introduction and step-by-step users guide in your program.

LLMs: Beyond Chat

Structured Generation Evals

Custom comfyui https://github.com/comfyanonymous/ComfyUI Nodes for interacting with Ollama https://ollama.com/ using the Instructor https://github.com/jxnl/instructor Library to provide structured output from your LLM

Type-safe structured data extraction from text using LLMs.

create pydantic models dynamically

Your personal contract AI assistant

Image Knowledge base / Idea / Problem Solve / Analysis

A university management system is a Java-based software that streamlines administrative processes, improves data accuracy and security, and provides insights for universities to improve outcomes for students, faculty, and staff.

AI / ML Embeddings applied to the Steam Store.

Bundling tools for building with AI.

Personal research knowledge base with an AI-scientist loop — deep-read papers into grounded bilingual analyses, incubate divergent questions, cross-analyze your library, connect your own experiments, iterate with round-memory advice.

JakIja is a cross-vendor online learning ecosystem built with Python Django, HTMX, and Tailwind CSS, providing secure self-paced learning with interactive content, assessments, and progress tracking in a modular and scalable architecture

Classify any text dataset with one config file. OpenAI, Anthropic, or Ollama — guaranteed structured outputs, unsupervised clustering, HTML reports.