Awesome-LLM-Resources-List and awesome-ai-llm4education

Maintenance 13/25
Adoption 10/25
Maturity 8/25
Community 21/25
Maintenance 10/25
Adoption 10/25
Maturity 8/25
Community 15/25
Stars: 502
Forks: 84
Downloads:
Commits (30d): 9
Language: Python
License:
Stars: 171
Forks: 19
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License No Package No Dependents
No License No Package No Dependents

About Awesome-LLM-Resources-List

ilsilfverskiold/Awesome-LLM-Resources-List

A Curated Collection of resources for applied AI engineering (work in progress).

This collection helps AI engineers and practitioners navigate the rapidly evolving landscape of Large Language Model (LLM) tools and platforms. It provides curated lists for hosting private or open-source LLMs, accessing off-the-shelf models via API, and performing local inference. The output is a clear overview of options, features, and pricing to help you make informed decisions for your projects.

AI engineering LLM deployment model hosting API integration machine learning operations

About awesome-ai-llm4education

GeminiLight/awesome-ai-llm4education

Awesome artificial intelligence (AI) and large language model (LLM) for education papers.

This project helps education researchers, instructional designers, and policymakers stay current with the latest advancements in AI and Large Language Models (LLMs) applied to education. It provides a categorized list of academic papers from top conferences and journals. The output is a structured overview of research on topics like tutoring systems, adaptive testing, and content generation.

education-research instructional-design learning-technology academic-literature-review educational-policy

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