Welcome to LLMversehub β your one-stop destination for tutorials, projects, and deep dives into Large Language Models, Retrieval-Augmented Generation, AI agents, LLMOps, MCP, and evaluation strategies for real-world AI applications.
This repository is curated by [sudheerdev-aiml] and is designed for developers looking to:
- Learn the fundamentals and advanced concepts of LLMs and GenAI
- Explore RAG architectures and workflows
- Build, deploy, and evaluate AI agents
- Understand and implement LLMOps and MCP practices
- Master AI evaluation techniques in practical scenarios
- LLMs: Concepts, training, fine-tuning, and prompt engineering
- RAG: Retrieval-Augmented Generation workflows and best practices
- AI Agents: Autonomous agents, design patterns, real-world use cases
- MCP: Building and managing multi-component pipelines for AI systems
- LLMOps: Deployment, automation, monitoring, and scaling
- Evaluation: Metrics, frameworks, and benchmarking techniques
Youβll find:
- Beginner and advanced tutorials
- Project templates and code snippets
- Real-world application walkthroughs
- Evaluation and benchmark guides
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Clone the repository: git clone https://github.com/sudheerdev-aiml/LLMversehub.git
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Browse the
tutorials/,projects/, andexamples/directories -
Follow the setup instructions in each folderβs README
Open to contributions! If youβd like to share your projects, suggest improvements, or join discussions:
- Submit a pull request
- Open an issue for questions or ideas
Explore the LLMverse, unlock the power of generative AI, and build the future of intelligent agents and pipelines!