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awesome-ai-engineering

🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.

awesome-LLM-resources

Author description: 🧑‍🚀 Summary of the world's best LLM resources (multimodal generation, Agent, auxiliary programming, AI review, data processing, model training, model inference, o1 model, MCP, small language model, visual language model) | Summary of the world's best LLM resources.

Popularity
Repository stars22,516Highest9,066
7-day net stars——
Fork4,852Highest1,040
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-212026-11-01
Maintenance notesNot verifiedNot verified
Repository created2018-09-172024-04-19
License & use
LicenseMIT · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeAwesome lists · Retrieval-augmented generationAwesome lists · Books and papers · Retrieval-augmented generation
TypeGuides & collectionsGuides & collections
SubcategoryAwesome listsBooks & reference material
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language——
About this project🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.Author description: 🧑‍🚀 Summary of the world's best LLM resources (multimodal generation, Agent, auxiliary programming, AI review, data processing, model training, model inference, o1 model, MCP, small language model, visual language model) | Summary of the world's best LLM resources.
Measured at2026-11-02 18:58 UTC2026-11-03 08:26 UTC

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