AI Strategy, MLOps & RAG Systems
Building production-grade AI systems beyond notebooks.
| Resource | Description |
|---|---|
| Chip Huyen's ML Engineering | World-class resources on real-time ML and designing machine learning systems for production |
| Hugging Face | The hub of modern AI—critical for open-source models, datasets, and understanding state-of-the-art |
| LlamaIndex | RAG-first framework, my preference for complex data ingestion strategies |
| LangChain | Dominant framework for LLM orchestration, agents, and multi-step reasoning workflows |
| LMSYS Chatbot Arena | The definitive leaderboard for evaluating LLMs by human preference (Elo ratings) |
| MLflow | Open-source standard for experiment tracking, model registry, and ML lifecycle management |
| Weights & Biases | Collaborative experiment tracking with superior visualization—widely adopted in MLOps |
| Ollama | Run open-source LLMs locally without friction—essential for benchmarking and privacy |
| OWASP Top 10 for LLM | Security standard for LLM applications—critical for preventing prompt injection and data leakage |
| Vertex AI | Enterprise backbone for GCP: Model Garden, Generative AI, and managed ML pipelines |