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.