Awesome-Production-Llm

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awesome-production-llm is a curated list of open-source libraries for production large language models. It helps machine learning engineers and developers discover tools and resources.

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Pricing

free

Free tier

Yes

API

—

Skill level

Technical

About

What is awesome-production-llm?

awesome-production-llm is a curated list of open-source libraries specifically designed for production large language models (LLMs). This resource aims to assist machine learning engineers and developers in discovering relevant tools and educational materials. The repository is organized into various categories, including tools for LLM extraction/parsing and benchmarks for LLM agents. It also provides access to LLM courses and other educational resources, making it a valuable hub for those working with or learning about production-grade LLMs.

Best used for

Discovering open-source libraries and educational resources for building and deploying production large language models.

Common actions

Discover LLM tools

Learn about LLMs

Benchmark LLM agents

Find open-source libraries

Develop with LLMs

github copilot"AI Agents"face swappingopen-sourceworkflowscollaborationlow-code/no-codeautomated workflowdeepfake

Capabilities

Key features

Curated open-source list
LLM extraction/parsing tools
LLM agent benchmarks
LLM courses
Educational materials

Target Audience

Machine Learning EngineersDevelopersResearchersStudents

Integrations

Not yet documented

Pricing & Plans

free

Free

FAQs

Does this list include proprietary or paid LLM tools, or is it exclusively open-source?

awesome-production-llm focuses exclusively on open-source libraries and tools. Its primary goal is to provide free, accessible resources for machine learning engineers and developers working with production LLMs.

How frequently is the 'awesome-production-llm' list updated with new tools and resources?

The repository is maintained by its community and contributors, with updates occurring periodically as new open-source LLM tools, benchmarks, and educational materials become available and are vetted for inclusion.

Are there specific criteria for tools to be included in the 'awesome-production-llm' list?

Tools are typically included if they are open-source, relevant to production-grade LLM development, and offer practical utility for tasks like extraction, parsing, agent benchmarking, or educational purposes.

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