A practical DSPy tutorial: build modular LLM programs with signatures, teleprompters, and RAG—plus evaluation and production tips.
Design and implement robust REST API request validation middleware with patterns, code examples, error models, testing, and production tips.
Build a practical GraphRAG pipeline: extract a knowledge graph, index nodes and chunks, retrieve local paths and global summaries, and synthesize grounded answers.
Build a production-ready AI meeting transcription API with streaming, diarization, summaries, and exports. Code samples and architecture included.
Build a production-ready AI email assistant: architecture, Gmail/Graph integration, LLM prompts, security, reliability, and code examples.
A practical, end-to-end tutorial for generating, evaluating, and governing synthetic data for ML using Python, SDV, and sdmetrics.
