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Add veroq - LLM output verification

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John Weston 2026-04-02 14:34:46 +01:00
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@ -142,6 +142,8 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
- [instructor](https://github.com/567-labs/instructor) - A library for extracting structured data from LLMs, powered by Pydantic.
- [llama-index](https://github.com/run-llama/llama_index) - A data framework for your LLM application.
- [mem0](https://github.com/mem0ai/mem0) - An intelligent memory layer for AI agents enabling personalized interactions.
- Verification
- [veroq](https://github.com/veroq-ai/shield) - Verify any LLM output with one function call. Extracts claims, fact-checks against live evidence, returns trust scores and corrections.
- Pre-trained Models and Inference
- [diffusers](https://github.com/huggingface/diffusers) - A library that provides pre-trained diffusion models for generating and editing images, audio, and video.
- [transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pre-trained transformer models for NLP, vision, and audio tasks.