Skip to main content

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

24
GitHub Stars
50
Curated Resources
1
Categories
20 hours ago
Last Refreshed
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"

Installation instructions →

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 →