Opensource Awesome List for AI and LLM
Dec 10, 2024Explore curated open-source lists for AI and LLMs. Discover resources for AI in Libraries, Archives, Museums, and comprehensive collections on Large Language Models (LLMs), including tools, datasets, papers, and tutorials.
Awesome Open-Source Lists for AI and LLMs
This article explores two excellent open-source, curated lists focusing on AI and Large Language Models (LLMs):
1. Awesome AI for LAM | awesome-ai4lam
Title: Awesome AI for LAM | awesome-ai4lam URL: https://ai4lam.github.io/awesome-ai4lam/ Description: A curated list of resources, projects, and tools for using Artificial Intelligence in Libraries, Archives, and Museums.
This resource provides a comprehensive collection of materials for professionals and enthusiasts in the Libraries, Archives, and Museums (LAM) sector. It includes sections on:
- Learning Resources: Introductions to AI, Computer Vision, Natural Language Processing, Generative AI, AI in LAM, and other awesome lists. Examples include free courses from MinnaLearn & University of Helsinki and Library Carpentries.
- Tools and Frameworks: Document analysis, transcription, and labeling; audio and video analysis, transcription, and labeling; indexing and classification; search and retrieval; and applications of Transformers, LLMs, and GPT. Examples include Arkindex, Callico, and Transkribus.
- Datasets: Datasets available on Hugging Face and elsewhere. Links are provided to perform live searches within Hugging Face for datasets tagged with specific terms.
- Projects, Initiatives, and Case Studies: Project lists & directories and select individual projects. Examples include BigLAM and the Vatican Manuscripts project.
- Policies and Recommendations: Statements by organizations and government bodies, surveys of policies and recommendations, and frameworks. Examples include statements from the ACM Technology Policy Council and IFLA.
- Conferences and Workshops: Upcoming and past conferences and workshops, including the Fantastic Futures conference series.
- Publications and News Sources: Journals and magazines and news sources.
- Community and Contributions: Information on how to contribute to the list.
The content is licensed under the Creative Commons CC0 1.0 Universal license.
2. Awesome-LLM: a curated list of Large Language Model
Title: Awesome-LLM: a curated list of Large Language Model URL: https://github.com/Hannibal046/Awesome-LLM Description: A curated list of Large Language Models (LLMs), including papers, frameworks, tools, courses, and applications.

This GitHub repository offers a comprehensive collection of resources related to LLMs, categorized into sections such as:
- Milestone Papers: A chronological list of influential LLM research papers.
- Other Papers: Links to curated lists of papers on various LLM-related topics (hallucination, instruction tuning, etc.).
- LLM Leaderboard: Links to various LLM benchmark leaderboards.
- Open LLM: A list of open-source LLMs, categorized by organization (Meta, Mistral AI, Google, etc.).
- LLM Data: Links to datasets for LLM training.
- LLM Evaluation: Tools and frameworks for evaluating LLMs.
- LLM Training Frameworks: Tools and libraries for training LLMs.
- LLM Deployment: Tools and platforms for deploying LLMs.
- LLM Applications: Libraries and frameworks for building LLM applications.
- LLM Tutorials and Courses: Links to tutorials and courses on LLMs.
- LLM Books: Books on LLMs.
- Great thoughts about LLM: Articles and blog posts offering insights into LLMs.
- Miscellaneous: Other relevant resources.
The repository also includes information on contributing. Note that the content shown here is a snapshot and the actual repository may contain more up-to-date information.
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