Awesome-LLM

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Awesome-LLM is a research & education tool that provides a curated list of resources related to large language models (LLMs). It includes papers, training frameworks, deployment tools, and publicly available LLM checkpoints and APIs, designed to help users navigate the LLM landscape.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Awesome-LLM?

Awesome-LLM is a comprehensive, curated list of resources focused on Large Language Models (LLMs), particularly those related to ChatGPT. It serves as an invaluable resource for researchers, developers, and enthusiasts in the AI community. The repository categorizes information into key areas such as milestone papers, other relevant papers, LLM leaderboards, data sets, evaluation metrics, training frameworks, inference techniques, applications, tutorials, courses, and books. It also highlights trending LLM projects and offers insights into various subfields of LLM research, making it a central hub for staying updated on the latest advancements and foundational knowledge in the LLM space.

Best used for

Ideal for researchers and developers who need to explore foundational and cutting-edge LLM papers, track the performance of various LLMs on leaderboards, and discover tools for training and deploying LLMs. Especially valuable for those seeking a centralized, organized repository of information to navigate the rapidly evolving LLM landscape.

Common actions

explore LLM papers

find LLM resources

track LLM progress

learn LLM development

"AI Agents"face swappinggithub copilotworkflowsautomated workflowlow-code/no-codecollaborationopen-sourcedeepfake

Capabilities

Key features

Curated LLM paper lists
LLM leaderboards
LLM training frameworks
LLM deployment tools
Public LLM checkpoints
LLM APIs

Target Audience

professorresearcherdeveloper

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of resources are included in Awesome-LLM?

Awesome-LLM includes a wide range of resources such as milestone papers, other research papers across various subfields, LLM leaderboards, datasets, evaluation metrics, training frameworks, inference tools, application examples, tutorials, courses, and books related to Large Language Models.

How frequently is the Awesome-LLM list updated?

The repository is actively maintained, with new commits and updates regularly adding the latest papers, projects, and resources. Users can check the commit history on GitHub to see the most recent additions and changes to the list.

Can I contribute to the Awesome-LLM list?

Yes, Awesome-LLM encourages contributions. The repository includes a 'contributing.md' file with guidelines on how to submit new papers, projects, or other relevant resources to be added to the curated list, fostering community involvement.

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Subcategories trending in Research & Education

Study Assistants Knowledge Management Course Creation Scientific Computing Summarization Language Learning

Trending

Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra Coding & Development › Open Source & Models

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