Reverse Dependencies of outlines

The following projects have a declared dependency on outlines:

• alexandrainst_ragger — A repository for general-purpose RAG applications.
• autobiasdetector — tools for detecting bias patterns of LLMs
• briton — Python component of using Briton
• camel-ai — Communicative Agents for AI Society Study
• classipypi — Neurosymbolic PyPI package classifier selector.
• codestory — A cli tool for generating conventional commit messages using LLM models
• dblcsgen — DBLC Fast Structured Generation
• distilabel — Distilabel is an AI Feedback (AIF) framework for building datasets with and for LLMs.
• gigax — Call LLM-powered NPCs from your game, at runtime.
• hinteval — A Python framework designed for both generating and evaluating hints.
• latentscope — Quickly embed, project, cluster and explore a dataset.
• lexi-align — Word alignment between two languages using structured generation
• llm-vm — An Open-Source AGI Server for Open-Source LLMs
• mlx-omni-server — no summary
• optillm — An optimizing inference proxy for LLMs.
• outlines — Probabilistic Generative Model Programming
• outlines-haystack — Use `outlines` generators with Haystack.
• outlinesmlx — Probabilistic Generative Model Programming
• python-lilypad — An open-source prompt engineering framework.
• serverless-llm — no summary
• sglang — SGLang is yet another fast serving framework for large language models and vision language models.
• sglang-router — SGLang is yet another fast serving framework for large language models and vision language models.
• sieves — Rapid prototyping and robust baselines for information extraction with zero- and few-shot models.
• struct-ie — A Python library for structured information extraction with LLMs.
• TruthTorchLM — TruthTorchLM is an open-source library designed to assess truthfulness in language models' outputs. The library integrates state-of-the-art methods, offers comprehensive benchmarking tools across various tasks, and enables seamless integration with popular frameworks like Huggingface and LiteLLM.
• vllm-npu — A high-throughput and memory-efficient inference and serving engine for LLMs
• vllm-xft — A high-throughput and memory-efficient inference and serving engine for LLMs