Structured Outputs
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Updated
Feb 6, 2026 - Python
Structured Outputs
Query language for blending SQL and local language models across structured + unstructured data, with type constraints.
Plug-and-play document AI with zero-shot models.
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
Extract structured data from local or remote LLM models
Python for logic. English for intelligence.
Use `outlines` generators with Haystack.
Speculative grammar backtracking algorithm for LLM decoding conforming to some lark context-free grammar (CFG)
Guided Infilling Modeling Toolkit
Fast structured data extraction from text using LLMs. Pre-built templates for common use cases + custom schema support.
Context-Free Grammar-guided Generation of FHIR Resources Using Large Language Models
Word alignment of multilingual sentences using structured generation
Implementation of a task-specific QLoRA supervised fine-tuning pipeline for LLaMA-2-7B-Chat, developed for an independent study on structured cover letter generation.
Progressively extracts structured information from multi-turn user chats using pydantic schemas and LLMs
A comprehensive toolkit for streamlining and simplifying the offline inference process for LLMs across various models and libraries.
A fiction machine inspired by Borges
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