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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

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Hannibal046

Hannibal046

Hannibal046 • individual

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Created

Feb 17, 2023

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README Summary

Awesome-LLM is a comprehensive curated list of resources related to Large Language Models (LLMs), including papers, tools, datasets, and other educational materials. It serves as a centralized repository for researchers, developers, and enthusiasts to discover and access key LLM-related content. The repository is organized into categories to help users navigate the rapidly evolving LLM landscape.

AI Dev Skills

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Large Language Model ArchitectureNatural Language ProcessingTransformer ModelsPre-training MethodologiesFine-tuning TechniquesModel EvaluationPrompt EngineeringLLM ApplicationsModel CompressionNeural Language Modeling

Tags

Large Language Model ArchitectureNatural Language ProcessingTransformer ModelsPre-training MethodologiesFine-tuning TechniquesModel EvaluationPrompt EngineeringLLM ApplicationsModel CompressionNeural Language ModelingTool and Framework DiscoveryGenerative AIAI DemocratizationLarge Language ModelsOpen Source AIResearch Reference CollectionAcademic Literature NavigationFoundation ModelsTechnology Survey and ComparisonLearning Resource CurationText

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Updated 8 months ago

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production
Quality
medium
Maturity
production

Categories

Learning ResourcesPrimaryEvals & BenchmarkingNLP & TextSearch & KnowledgeOther AI / MLRoboticsFoundation ModelsAI AgentsModel TrainingGenerative Media

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Product Discovery

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Timeline

Project created
Feb 17, 2023
Forked
Mar 14, 2026
Your last push
8 months ago
Upstream last push
8 months ago
Tracked since
Jul 31, 2025

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