awesome-ai-engineering-reads
github.com/aipengineer/awesome-ai-engineering-reads ↗Essential reads for every AI engineer interested in building AI apps.
93
GitHub Stars
103
Curated Resources
32
Categories
2 hours ago
Last Refreshed
Building and Deploying LLMsTraining and Fine-tuning LLMsLLM Architectures and ModelsTools and FrameworksLLM ApplicationsLLM EvaluationLLM PromptingLLM Research and PublicationsLLM EmbeddingsLLM Retriever ModelsLLM plus RetrievalEvaluating LLM plus RetrievalLLM InferenceLLM DataLLM ObservabilityLLM Opinions and CritiquesLLM Tutorials and CoursesLLM EngineeringLLM Engineering Best PracticesOpen LLM ModelsOpen LLM ToolsSelf-Hosted LLMsLLM DeploymentLLM InfrastructureLLM EventsLLM NumbersLLM HypeLLM NewslettersLLM Ethics and GovernanceLLM Startups and FundingLLM BusinessLLM Marketing
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me llm business resources from awesome-ai-engineering-reads"
Installation instructions →What's inside
LLM Business
Evaluating LLM plus Retrieval
LLM Infrastructure
LLM Ethics and Governance
LLM Engineering
- AI Engineer Summit - Building Blocks for LLM Systems & Products
Building Blocks for LLM Systems & Products
- Reflections on AI Engineer Summit 2023
LLM Observability
- AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.
Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.
Showing a sample of 103 resources. View the full list on GitHub →