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Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization

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Models and Tools

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me llm monitoring resources from awesome-llm-productization"

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What's inside

Models and Tools

  • AuditNLGLLM Monitoring

    an open-source library that can help reduce the risks associated with using generative AI systems for language. The library supports three aspects of trust detection and improvement: Factualness, Safety, and Constraint.

  • Awesome MLOpsGeneral MLOps Tools

    A curated list of awesome MLOps tools

  • ChatGLM-6BOpen LLM Models

    an open bilingual language model based on General Language Model (GLM) framework, with 6.2 billion parameters. (Note from the repo: a small LM to start with so that you can have a taste on prompting & finetuning. You can use a comemrcial grade graphics card with only 8GB to successfully fine tune it without any other financial commitment. You can use it like it is a BERT.)

  • ChromaDBVector Store

    open-source embedding database (Python based - in-memory only at the moment)

  • clip-as-serviceEmbeddings

    a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions (Python based, Apache 2);

  • dbtGeneral MLOps Tools

    dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Showing a sample of 50 resources. View the full list on GitHub →